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PhillipRambo
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@ -2,14 +2,14 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 122,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"#for windows\n",
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"#import sys\n",
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"#sys.path.append(r'C:\\Users\\pedersen\\gmid') # path to gmid repository\n",
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"import sys\n",
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"sys.path.append(r'C:\\Users\\pedersen\\gmid') # path to gmid repository\n",
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"# ------\n",
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"import matplotlib.pyplot as plt\n",
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"from mosplot import load_lookup_table, LoadMosfet # make sure that mosplot can be found in the python path\n",
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@ -21,12 +21,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 123,
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"metadata": {},
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"outputs": [],
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"source": [
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"pmos_lv_path = '/home/pedersen/chipdesign/cmos_analog/gmid_sweeps/pmos_lv_sweep.npy'\n",
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"nmos_lv_path = '/home/pedersen/chipdesign/cmos_analog/gmid_sweeps/nmos_lv_sweep.npy'\n",
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"pmos_lv_path = r'C:\\Users\\pedersen\\Desktop\\OpenDesingCourse/no_touch_files\\gmoveridpypmos_gmid_final.npy'\n",
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"nmos_lv_path = r'C:\\Users\\pedersen\\Desktop\\OpenDesingCourse/no_touch_files\\gmoveridpynmos_final_gmid.npy'\n",
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"\n",
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"lookup_table_pmos = load_lookup_table(pmos_lv_path)\n",
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"lookup_table_nmos = load_lookup_table(nmos_lv_path)"
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@ -34,7 +34,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 124,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -44,7 +44,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 125,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -237,35 +237,37 @@
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 126,
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"metadata": {},
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"outputs": [],
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"source": [
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"vdd = 1.2 # supply voltage\n",
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"Cl = 500e-15 # load capacitance\n",
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"Av_wish = 80 # in db\n",
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"phase_margin = 65 # At least :)\n",
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"Av_wish = 75 # in db approximatly 70-75db\n",
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"fdominant = 1000 # dominant pole frequency\n",
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"CC = 0.3*Cl \n",
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"CC = Cl*1.5\n",
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"GBW = fdominant * dB_to_linear(Av_wish) # Gain Bandwidth Product"
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]
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},
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{
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"cell_type": "markdown",
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"cell_type": "code",
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"execution_count": 127,
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"metadata": {},
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"outputs": [],
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"source": [
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"# First desigining the output stage looking at the output transistor"
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"gm_M12 = GBW * CC * 2 * np.pi\n",
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"gm_M6 = 15 * gm_M12"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 128,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "32c41670fdbd48cd915f8cecbdd4fc9c",
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"model_id": "7d85aaf18b7e4afb84f5464597cbeb06",
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"version_major": 2,
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"version_minor": 0
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},
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@ -285,21 +287,21 @@
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"gds_values_M6 = nmos_M6.extracted_table['gds']\n",
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"vgs_values_M6 = nmos_M6.extracted_table['vgs']\n",
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"\n",
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"plot_data_vs_data(gm_values_M6/id_values_M6, gm_values_M6/gds_values_M6, vgs_values_M6, nmos_M6.extracted_table['lengths'], 'gm/id', 'gds')"
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"plot_data_vs_data(gm_values_M6/id_values_M6, gm_values_M6/gds_values_M6, vgs_values_M6, nmos_M6.extracted_table['lengths'], 'gm/id', 'gm/gds')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"execution_count": 129,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"6.283185307179587e-06"
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"7.949913192125772e-05"
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]
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},
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"execution_count": 26,
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"execution_count": 129,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -308,7 +310,6 @@
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"# For max gmro and vgs of 0.6V we have gmid of 5\n",
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"L_M6 = 9.75e-6\n",
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"gmid_M6 = 5 # strong inversion, i.e saturation\n",
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"gm_M6 = 2*np.pi*GBW*Cl # we have se\n",
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"id_outputstage = gm_M6/gmid_M6\n",
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"gmro_M6 = 55.68\n",
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"ro_M6 = gmro_M6/gm_M6\n",
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@ -317,21 +318,20 @@
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"execution_count": 130,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"gmro_M7 = 334.08\n"
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"gmro_M7 = 222.72\n"
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]
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}
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],
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"source": [
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"# Now for the pmos output transistor we must have 3 time the output impedance to insure max output gain\n",
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"ro_M7 = 3*ro_M6\n",
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"\n",
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"ro_M7 = 2 * ro_M6\n",
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"# we want to place this transistor in moderate inversion\n",
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"gmid_M7 = 10\n",
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"gm_M7 = gmid_M7 * id_outputstage\n",
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@ -341,13 +341,13 @@
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"execution_count": 131,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "e631757f58a64118873cc3240a08af73",
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"model_id": "833bb160c6a040f1aab4ff0562870238",
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"version_major": 2,
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"version_minor": 0
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},
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@ -372,17 +372,18 @@
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"execution_count": 132,
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"metadata": {},
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"outputs": [],
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"source": [
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"# For the criteria to be met we must have \n",
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"L_M7 = 3.38e-6"
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"L_M7 = 2.08e-6\n",
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"gmro_M7 = 390"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"execution_count": 133,
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"metadata": {},
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"outputs": [
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{
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@ -391,7 +392,7 @@
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"text": [
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"L_M6 = 9.75e-06\n",
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"gmid_M6 = 5.00\n",
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"L_M7 = 3.38e-06\n",
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"L_M7 = 2.08e-06\n",
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"gmid_M7 = 10.00\n"
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]
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}
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@ -405,13 +406,13 @@
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"execution_count": 134,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "f4c661be0d36403b8737fd91a618fdc7",
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"model_id": "f844ac0b2e5c48ef9c44cf4f63247c08",
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"version_major": 2,
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"version_minor": 0
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},
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@ -425,7 +426,7 @@
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "b2595dde5ebe43f3be4544582bafe044",
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"model_id": "cf6424ea716549f4ad1dfc93487e5e34",
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"version_major": 2,
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"version_minor": 0
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},
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@ -444,7 +445,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 32,
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"execution_count": 135,
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"metadata": {},
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"outputs": [
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{
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@ -454,27 +455,27 @@
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"\n",
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"Output Stage Amplification Summary\n",
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"Width and Lengths for M6\n",
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" W = 2.28 um\n",
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" W = 28.80 um\n",
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" L = 9.75 um\n",
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"Inversion Region for M6: Strong Inversion\n",
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"\n",
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"Width and Lengths for M7\n",
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" W = 14.61 um\n",
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" L = 3.38 um\n",
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" W = 75.00 um\n",
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" L = 2.08 um\n",
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"Inversion Region for M7: Strong Inversion\n",
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"\n",
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"Output Stage Bias:\n",
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" Output Current : 6.28 μA\n",
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" Output Current : 79.50 μA\n",
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"\n",
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"Output Stage Gain:\n",
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" Av2 = 41.76 (32.42 dB)\n",
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" Av2 = 37.12 (31.39 dB)\n",
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"\n"
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]
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}
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],
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"source": [
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"id_over_W_M6 = 2.76\n",
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"id_over_W_M7 = 0.43\n",
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"id_over_W_M7 = 1.06\n",
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"\n",
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"display_outcurrent, unit_outcurrent = display_current(id_outputstage)\n",
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"Av2 = gm_M6 * (ro_M6 * ro_M7)/(ro_M6 + ro_M7)\n",
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@ -514,25 +515,26 @@
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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"execution_count": 136,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"1.392e-06"
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"2.0004294796936965e-06"
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]
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},
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"execution_count": 33,
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"execution_count": 136,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# Now we assume that the max gmro for our nmos in the input stage is 55.68\n",
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"fp2 = gm_M6/(2*np.pi*Cl)\n",
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"gmro_M34_assumption = 55.68\n",
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"gmid_M34 = 5\n",
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"Rout1 = 8e6\n",
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"Rout1 = 1/(2*np.pi*fdominant* CC * (1 + Av2))\n",
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"gm_M34 = gmro_M34_assumption/Rout1\n",
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"id_branch = gm_M34/gmid_M34\n",
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"id_branch"
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@ -540,21 +542,39 @@
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"execution_count": 137,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"gmro_M12 = 718.39\n",
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"gmid_M12 = 21.50\n"
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"mirror_pole_assumption = 20.95 MHz\n",
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"fp2 = 126.52679816782855 MHz\n"
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]
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}
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],
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"source": [
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"mirror_pole_assumption = (gm_M34/( 4*np.pi*38e-15))*1e-6\n",
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"print(f'mirror_pole_assumption = {mirror_pole_assumption:.2f} MHz')\n",
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"print(f'fp2 = {fp2*1e-6:} MHz')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 138,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"gmro_M12 = 442.56\n",
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"gmid_M12 = 13.25\n"
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]
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}
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],
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"source": [
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"gm_M12 = dB_to_linear(float(Av_wish-Av2_db))/Rout1\n",
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"CC = 1/(2*np.pi*fdominant* Rout1 * (1 + Av2))\n",
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"gmro_M12 = gm_M12 * Rout1*3\n",
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"gmid_M12 = gm_M12/id_branch\n",
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"print(f'gmro_M12 = {gmro_M12:.2f}')\n",
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@ -570,13 +590,13 @@
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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"execution_count": 139,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "265f7ede0fd44c63a8c32143dc694ea6",
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"model_id": "fa44bbefc0154f809fc62bb1f4a41d7e",
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"version_major": 2,
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"version_minor": 0
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},
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@ -590,7 +610,7 @@
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "6b273b07c2044c82997f264b866c199d",
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"model_id": "c792d4dd57d0406fa39ab7b9779bdb9c",
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"version_major": 2,
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"version_minor": 0
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},
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@ -622,22 +642,22 @@
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"execution_count": 140,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"L_M12 = 3.25e-06\n",
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"gmid_M12 = 21.50\n",
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"L_M12 = 3.64e-06\n",
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"gmid_M12 = 13.25\n",
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"L_M34 = 9.75e-06\n",
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"gmid_M34 = 5.00\n"
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]
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}
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],
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"source": [
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"L_M12 = 3.25e-6\n",
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"L_M12 = 3.64e-6\n",
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"L_M34 = 9.75e-6\n",
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"\n",
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"print(f'L_M12 = {L_M12:.2e}')\n",
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@ -649,13 +669,13 @@
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},
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{
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"cell_type": "code",
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"execution_count": 37,
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"execution_count": 141,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "f996f78202ee479ba9ce8043d3049f46",
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"model_id": "8cf6156d8983439b9e36b85a04dd0a8b",
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"version_major": 2,
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"version_minor": 0
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},
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@ -669,7 +689,7 @@
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "18906fc315ab406b8bfd655e76f2e299",
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"model_id": "a53493719c6f4501acf45f7f50192f97",
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"version_major": 2,
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"version_minor": 0
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},
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@ -691,7 +711,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 40,
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"execution_count": 142,
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"metadata": {},
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"outputs": [
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{
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@ -701,22 +721,22 @@
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"\n",
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"Input Stage Amplification Summary\n",
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"Width and Lengths for M12\n",
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" W = 27.84 um\n",
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" L = 3.25 um\n",
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"Inversion Region for M12: Weak Inversion\n",
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" W = 7.41 um\n",
|
||||
" L = 3.64 um\n",
|
||||
"Inversion Region for M12: Moderate Inversion\n",
|
||||
"Width and Lengths for M34\n",
|
||||
" W = 0.50 um\n",
|
||||
" W = 0.72 um\n",
|
||||
" L = 9.75 um\n",
|
||||
"Inversion Region for M34: Strong Inversion\n",
|
||||
"Input Stage Bias:\n",
|
||||
" Branch Current : 1.39 μA\n",
|
||||
" input Tail current: 2.78 μA\n",
|
||||
" Branch Current : 2.00 μA\n",
|
||||
" input Tail current: 4.00 μA\n",
|
||||
"\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"id_over_W_M12 = 0.05\n",
|
||||
"id_over_W_M12 = 0.27\n",
|
||||
"id_over_W_M34 = 2.76\n",
|
||||
"\n",
|
||||
"display_id_branch, unit_id_branch = display_current(id_branch)\n",
|
||||
|
|
@ -724,8 +744,6 @@
|
|||
"W_M12 = id_branch/id_over_W_M12\n",
|
||||
"W_M34 = id_branch/id_over_W_M34\n",
|
||||
"\n",
|
||||
"Av1 = gm_M12*(ro_M12 * ro_M34/(ro_M12 + ro_M34))\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"input_stage_summary = f\"\"\"\n",
|
||||
"Input Stage Amplification Summary\n",
|
||||
|
|
@ -746,7 +764,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 44,
|
||||
"execution_count": 143,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
|
|
@ -760,44 +778,48 @@
|
|||
" \n",
|
||||
"Output Stage Amplification Summary\n",
|
||||
"Width and Lengths for M6\n",
|
||||
" W = 2.28 um\n",
|
||||
" W = 28.80 um\n",
|
||||
" L = 9.75 um\n",
|
||||
"Inversion Region for M6: Strong Inversion\n",
|
||||
"\n",
|
||||
"Width and Lengths for M7\n",
|
||||
" W = 14.61 um\n",
|
||||
" L = 3.38 um\n",
|
||||
" W = 75.00 um\n",
|
||||
" L = 2.08 um\n",
|
||||
"Inversion Region for M7: Strong Inversion\n",
|
||||
"\n",
|
||||
"Output Stage Bias:\n",
|
||||
" Output Current : 6.28 μA\n",
|
||||
" Output Current : 79.50 μA\n",
|
||||
"\n",
|
||||
"Output Stage Gain:\n",
|
||||
" Av2 = 41.76 (32.42 dB)\n",
|
||||
" Av2 = 37.12 (31.39 dB)\n",
|
||||
"\n",
|
||||
"Input Stage:\n",
|
||||
" \n",
|
||||
"Input Stage Amplification Summary\n",
|
||||
"Width and Lengths for M12\n",
|
||||
" W = 27.84 um\n",
|
||||
" L = 3.25 um\n",
|
||||
"Inversion Region for M12: Weak Inversion\n",
|
||||
" W = 7.41 um\n",
|
||||
" L = 3.64 um\n",
|
||||
"Inversion Region for M12: Moderate Inversion\n",
|
||||
"Width and Lengths for M34\n",
|
||||
" W = 0.50 um\n",
|
||||
" W = 0.72 um\n",
|
||||
" L = 9.75 um\n",
|
||||
"Inversion Region for M34: Strong Inversion\n",
|
||||
"Input Stage Bias:\n",
|
||||
" Branch Current : 1.39 μA\n",
|
||||
" input Tail current: 2.78 μA\n",
|
||||
" Branch Current : 2.00 μA\n",
|
||||
" input Tail current: 4.00 μA\n",
|
||||
"\n",
|
||||
" Input stage gain: 107.48 (40.63 dB)\n",
|
||||
"\n",
|
||||
"Gain and frequency response:\n",
|
||||
" Gain Bandwidth Product: 10000000.0 Hz\n",
|
||||
" Gain Bandwidth Product: 5623413.251903491 Hz\n",
|
||||
" Dominant Pole Frequency: 1000 Hz\n",
|
||||
" Output Stage Compensation Capacitance: 4.652564987485247e-13 F\n",
|
||||
" Output Stage Compensation Capacitance: 7.5e-13 F\n",
|
||||
" Load Capacitance: 5e-13 F\n",
|
||||
" dominant pole: 1000.0 Hz\n",
|
||||
" non dominant pole: 10000000.000000002 Hz\n",
|
||||
" non dominant pole: 126.52679816782855 MHz\n",
|
||||
" mirror pole assumption: 20.945936842105265 MHz\n",
|
||||
" Total gain: 3989.66 (72.02 dB)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\n"
|
||||
]
|
||||
|
|
@ -805,13 +827,14 @@
|
|||
],
|
||||
"source": [
|
||||
"# summarizing everything\\\n",
|
||||
"gmro_M12_actual = 800\n",
|
||||
"gmro_M12_actual = 396\n",
|
||||
"ro_M12 = gmro_M12_actual/gm_M12\n",
|
||||
"ro_M34 = gmro_M34_assumption/gm_M34\n",
|
||||
"Av1 = gm_M12 * (ro_M12 * ro_M34)/(ro_M12 + ro_M34)\n",
|
||||
"f_pole_1 = 1/(2*np.pi * Rout1 * CC * (1 + Av2))\n",
|
||||
"f_pole_2 = gm_M6/(2*np.pi * Cl)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"decades = (20*np.log10(Av1) + Av2_db) / 20\n",
|
||||
"\n",
|
||||
"if f_pole_1 * 10**decades < f_pole_2:\n",
|
||||
|
|
@ -827,6 +850,7 @@
|
|||
" {output_stage_summary}\n",
|
||||
"Input Stage:\n",
|
||||
" {input_stage_summary}\n",
|
||||
" Input stage gain: {gm_M12 * (ro_M12 * ro_M34)/(ro_M12 + ro_M34):.2f} ({20*np.log10(gm_M12 * (ro_M12 * ro_M34)/(ro_M12 + ro_M34)):.2f} dB)\n",
|
||||
"\n",
|
||||
"Gain and frequency response:\n",
|
||||
" Gain Bandwidth Product: {GBW:} Hz\n",
|
||||
|
|
@ -834,37 +858,19 @@
|
|||
" Output Stage Compensation Capacitance: {CC:} F\n",
|
||||
" Load Capacitance: {Cl} F\n",
|
||||
" dominant pole: {f_pole_1} Hz\n",
|
||||
" non dominant pole: {f_pole_2} Hz\n",
|
||||
" non dominant pole: {f_pole_2*1e-6} MHz\n",
|
||||
" mirror pole assumption: {mirror_pole_assumption} MHz\n",
|
||||
" Total gain: {Av1*Av2:.2f} ({20*np.log10(Av1*Av2):.2f} dB)\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"\"\"\"\n",
|
||||
"print(summary)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
|
|
@ -878,7 +884,7 @@
|
|||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.10.12"
|
||||
"version": "3.12.5"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
|
|
|||
Loading…
Reference in New Issue