def simulate(self):
self.netlist.to_spice('optimize.sp')
ngspyce.source('optimize.sp')
ngspyce.ac(**self.sim_params)
fs = np.abs(ngspyce.vector('frequency'))
vs = ngspyce.vector('vout')
return fs, vs
def sim():
tb = testbench(common_emitter_amplifer())
circuit = Builder(tb).compile()
circuit.to_spice('common_emitter_amplifier.sp')
ng.source('common_emitter_amplifier.sp')
ng.cmd('tran 50us 10ms')
print('\n'.join(ng.vector_names()))
time, tp1 = map(ng.vector, ['time', 'V(VOUT)'])
plt.plot(time, tp1, label='VOUT')
plt.legend()
plt.show()
import subprocess
import os
import sys
from matplotlib.colors import SymLogNorm
#include store.py
import sys
sys.path.append('/home/arthurdent/covidinator/electronics/')
import store
import ngspyce
source_file = 'oscillator.cir'
ngspyce.source(source_file)
def run_sim(varactor_voltage):
ngspyce.cmd(f'alterparam varactor_bias_voltage = {varactor_voltage}')
ngspyce.cmd('reset')
# ngspyce.cmd('stop after 10000')
step_ps = 1 #not always obeyed - ngspice sets its own timestep.
sim_duration = 100000
n_steps = sim_duration / step_ps
# ngspyce.cmd(" ")
ngspyce.cmd(f'tran {step_ps}p {sim_duration}ps uic')
timesteps = ngspyce.vector('time')
v_collector = ngspyce.vector('v(E1)')
"""
Plot output voltages of an operational amplifier quadrature oscillator
"""
import ngspyce
import numpy as np
from matplotlib import pyplot as plt
# Load netlist
ngspyce.source('quad.net')
# Simulate 10 ms
ngspyce.cmd('tran 12n 10m 1n')
# Read results
time, vsin, vcos = map(ngspyce.vector, ['time', 'Vsin', 'Vcos'])
# And plot them
plt.plot(time * 1e3, vcos, label='Vcos')
plt.plot(time * 1e3, vsin, label='Vsin')
plt.title('Quadrature op-amp oscillator output voltage')
plt.xlabel('Time [ms]')
plt.ylabel('Voltage [V]')
plt.savefig('quad.png')
plt.show()
"""
Plot the output characteristics for the BC337 NPN transistor
"""
import ngspyce
import numpy as np
from matplotlib import pyplot as plt
# Load netlist
ngspyce.source('npn.net')
# Sweep both base and collector current
ngspyce.cmd('dc vcc 0 2 .05 vbb .7 1.2 .1')
# Load simulation results into numpy arrays
vb, vc, Ivcc = map(ngspyce.vector, ['Vb', 'Vc', 'I(Vcc)'])
# Correct the sign for collector current
ic = -Ivcc
plt.figure()
# Plot one line per base voltage
series = np.unique(vb)
for _vb in series:
plt.plot(vc[vb == _vb],
ic[vb == _vb],
'-',
label='Vb = {:.1f}'.format(_vb))
plt.legend()
plt.title('Output characteristics for BC337')
write_outfile = '-p' in sys.argv or '--pdf' in sys.argv
do_plot_thd = '-t' in sys.argv or '--thd' in sys.argv
do_plot_bode = '-b' in sys.argv or '--bode' in sys.argv
do_plot_bode_resonance = '-r' in sys.argv or '--bode-resonance' in sys.argv
TWO_STAGE_AMP = '-2' in sys.argv or '--two-stage' in sys.argv
PREGAIN = 21 if ('-i' in sys.argv
or '--instrumentation-amplifier' in sys.argv) else 1
infile = [arg for arg in sys.argv[1:] if arg[0] != '-'][0]
thd_outfile = os.path.splitext(infile)[0] + "_thd" + ("_DRAFT" if DRAFT_MODE
else "") + ".pdf"
bode_outfile = os.path.splitext(infile)[0] + "_bode" + ("_DRAFT" if DRAFT_MODE
else "") + ".pdf"
bode2_outfile = os.path.splitext(infile)[0] + "_bode_reso" + (
"_DRAFT" if DRAFT_MODE else "") + ".pdf"
ns.source(infile)
plt.rcParams.update({'font.size': 8})
if do_plot_thd:
plot_thd_grid(thd_outfile if write_outfile else None)
if do_plot_bode:
plot_bode(bode_outfile if write_outfile else None)
if do_plot_bode_resonance:
plot_bode2(bode2_outfile if write_outfile else None)
if not write_outfile:
plt.show()
exit(0)
"""
Plot the frequency response of an RC low-pass filter
"""
import ngspyce
from matplotlib import pyplot as plt
import numpy as np
# Read netlist
ngspyce.source('lowpass.net')
# Calculate small-signal transfer function between 1 kHz and 10 MHz, with 5
# points per decade
ngspyce.ac(mode='dec', npoints=7, fstart=1e3, fstop=10e6)
# Read results
freq = np.abs(ngspyce.vector('frequency'))
vout = ngspyce.vector('vout')
# And plot them
fig, (ax1, ax2) = plt.subplots(2, sharex=True)
fig.suptitle('Frequency response of an RC low-pass filter')
ax1.semilogx(freq, 20 * np.log10(np.abs(vout)))
ax1.set_ylabel('Magnitude [dB]')
ax1.grid(True, which='both')
ax2.semilogx(freq, np.angle(vout, True))
ax2.set_xlabel('Frequency [Hz]')
ax2.set_ylabel('Phase [degrees]')
ax2.grid(True, which='both')
"""
Plot output voltages of an operational amplifier quadrature oscillator
"""
import ngspyce
import numpy as np
from matplotlib import pyplot as plt
# Load netlist
ngspyce.source('quad.net')
# Simulate 10 ms
ngspyce.cmd('tran 12n 10m 1n')
# Read results
time, vsin, vcos = map(ngspyce.vector, ['time', 'Vsin', 'Vcos'])
# And plot them
plt.plot(time*1e3, vcos, label='Vcos')
plt.plot(time*1e3, vsin, label='Vsin')
plt.title('Quadrature op-amp oscillator output voltage')
plt.xlabel('Time [ms]')
plt.ylabel('Voltage [V]')
plt.savefig('quad.png')
plt.show()
def test_source(self):
ns.source(os.path.join(os.path.dirname(__file__),
'../examples/npn/npn.net'))
self.assertEqual(ns.model_parameters(model='QBC337AP')['bf'], 175)
"""
Plot the frequency response of an RC low-pass filter
"""
import ngspyce
from matplotlib import pyplot as plt
import numpy as np
# Read netlist
ngspyce.source('lowpass.net')
# Calculate small-signal transfer function between 1 kHz and 10 MHz, with 5
# points per decade
ngspyce.ac(mode='dec', npoints=7, fstart=1e3, fstop=10e6)
# Read results
freq = np.abs(ngspyce.vector('frequency'))
vout = ngspyce.vector('vout')
# And plot them
fig, (ax1, ax2) = plt.subplots(2, sharex=True)
fig.suptitle('Frequency response of an RC low-pass filter')
ax1.semilogx(freq, 20*np.log10(np.abs(vout)))
ax1.set_ylabel('Magnitude [dB]')
ax1.grid(True, which='both')
ax2.semilogx(freq, np.angle(vout, True))
ax2.set_xlabel('Frequency [Hz]')
ax2.set_ylabel('Phase [degrees]')
ax2.grid(True, which='both')
"""
Plot the output characteristics for the BC337 NPN transistor
"""
import ngspyce
import numpy as np
from matplotlib import pyplot as plt
# Load netlist
ngspyce.source('npn.net')
# Sweep both base and collector current
ngspyce.cmd('dc vcc 0 2 .02 vbb .7 1.2 .1')
# Load simulation results into numpy arrays
vb, vc, Ivcc = map(ngspyce.vector, ['Vb', 'Vc', 'I(Vcc)'])
# Correct the sign for collector current
ic = -Ivcc
plt.figure()
# Plot one line per base voltage
series = np.unique(vb)
for _vb in series:
plt.plot(vc[vb == _vb], ic[vb == _vb], '-',
label='Vb = {:.1f}'.format(_vb))
plt.legend(loc='center right')
plt.title('Output characteristics for BC337')
plt.xlabel('Collector-emitter voltage [V]')
plt.ylabel('Collector current [A]')
