147 lines
3.8 KiB
Python
147 lines
3.8 KiB
Python
import os
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import ltspice
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import matplotlib.pyplot as plt
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import numpy as np
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simulations = {
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"longchannel": (5.0, """
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.include modelcard/1um.pm
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.param supply = {}
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.param ll = 1u
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"""),
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"50nm": (1.0, """
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.include ./modelcard/50nm.pm
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.param supply = {}
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.param ll=50nm
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"""),
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"16nmlp": (0.9, """
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.include ./modelcard/PTM_LP/16nm.pm
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.param supply = {}
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.param ll=16nm
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"""),
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"16nmhp": (0.7, """
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.include ./modelcard/PTM_HP/16nm.pm
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.param supply = {}
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.param ll=16nm
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""")
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}
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moss = {
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"nmos": "M1 2 1 0 0 nmos W={10*ll} L= ll",
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"pmos": "M1 2 1 vdd vdd pmos W={10*ll} L={ll}"
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}
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script_dc = """
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vdd vdd 0 {supply}
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Vgs 1 0 {supply}
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Vds 2 0 {supply}
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.op
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.dc vds 0 {supply} {supply/100} Vgs 0 {supply} {supply/12}
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*.step param lambda 50n 100n 10n
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.meas ix(1:D) at vgs='supply'
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.save I(vds)
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.end
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"""
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script_ring = """
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.subckt nn d g s ww=100nm
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mnfet d g s gnd nmos L=ll w=ww
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.ends
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.subckt pp d g s ww=100nm
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mpfet d g s vdd pmos L=ll w=ww
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.ends
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.subckt inv out inn size=100n beta=2
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XPP out inn vdd pp ww='size*beta/(beta+1)'
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XNN out inn 0 nn ww='size/(beta+1)'
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.ENDS inv
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.global gnd vdd
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vdd vdd 0 'supply'
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*Top level
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.ic v(n0)=0
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X0 n1 n0 inv size = '10*ll'
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X1 n2 n1 inv size = '10*ll'
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X2 n3 n2 inv size = '10*ll'
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X3 n4 n3 inv size = '10*ll'
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X4 n0 n4 inv size = '10*ll'
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.tran 0.1p 3n
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"""
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def find_period(ident, script, model, mos, l):
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time = l.get_time()
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data = l.get_data('V(n0)')
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largest = max(data)
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smallest = min(data)
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diff = largest-smallest
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nearmax = [(i, dp) for (i, dp) in enumerate(data) if abs((largest-dp)/diff) < 0.01]
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nearmin = [(i, dp) for (i, dp) in enumerate(data) if abs((smallest-dp)/diff) < 0.01]
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group1, group2 = [], []
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# Discard near-min values
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while nearmin[0][0] < nearmax[0][0]:
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nearmin.pop(0)
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# Group first peak
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while nearmax[0][0] < nearmin[0][0]:
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i, dp = nearmax.pop(0)
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group1.append((dp, time[i]))
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# Discard near-min values
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while nearmin[0][0] < nearmax[0][0]:
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nearmin.pop(0)
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# Group first peak
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while nearmax[0][0] < nearmin[0][0]:
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i, dp = nearmax.pop(0)
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group2.append((dp, time[i]))
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peak1 = max(group1)[1] * 1000000000000
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peak2 = max(group2)[1] * 1000000000000
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print(ident, peak2-peak1)
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def find_onoff(ident, script, model, mos, l):
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vds = l.get_data('vds')
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current_lo = l.get_data('I(vds)', 0)
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current_hi = l.get_data('I(vds)', l.case_count - 1)
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print(ident, current_lo[-5], current_hi[-5])
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def find_gm(ident, script, model, mos, l):
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vds = l.get_data('vds')
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gms = []
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for i in range(l.case_count):
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if i == 0: continue
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max_diff = max(
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[ abs(curr - prev) for (curr, prev) in
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zip(l.get_data('I(vds)', i), l.get_data('I(vds)', i-1)) ])
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gms.append(max_diff/(simulations[model][0]/12))
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print(ident, max(gms) * 10000)
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def render_current(ident, script, model, mos, l):
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vds = l.get_data('vds')
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for i in range(l.case_count):
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curr = l.get_data('I(vds)', i)
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plt.plot(vds, curr)
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plt.savefig(ident + "_current.png", dpi=192)
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plt.close()
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def run_sim(script, model, mos, callback):
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scriptname = "t_{}_{}".format(model, mos)
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with open(scriptname + ".cir", "w") as f:
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f.write(simulations[model][1].format(simulations[model][0]))
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if mos is not None: f.write(moss[mos])
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f.write(script)
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# sp = os.popen("wine ~/.wine/drive_c/Program\ Files/LTC/LTspiceXVII/XVIIx64.exe -b {}.cir -ascii"
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# .format(scriptname))
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# sp.read()
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l = ltspice.Ltspice(scriptname + ".raw")
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l.parse()
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callback(scriptname, script, model, mos, l)
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for mos in moss.keys():
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for node in simulations.keys():
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run_sim(script_dc, node, mos, find_onoff)
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for node in simulations.keys():
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run_sim(script_ring, node, None, find_period)
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