def test_nonlinear_ac():
''' Test that elements are linearised around DC operating point.
'''
pycircuit.circuit.circuit.default_toolkit = numeric
cir=SubCircuit()
vvec=np.linspace(-2,2,100)
ivec=np.exp(vvec/10.)
nvec=ivec
cir['VB']=VS(1, gnd, v=1, vac=1)
cir['RL']=R(2, gnd, r=1e2)
cir['NVCCS']=myVCCS(1, gnd, 2, gnd, vvec=vvec, ivec=ivec, nvec=nvec)
dc = DC(cir)
resdc = dc.solve()
#I=exp(v/10)
#gm=1/10*exp(v/10)
#gm(0)=0.1
#gm(0.1)=0.1*exp(0.1/10)
#V(2)=-vac*gm*RL=-gm*RL (-10 for v=0, -10.1 for v=0.1, -11.05 for v=0.5)
res=AC(cir, toolkit = numeric).solve(0)
assert_almost_equal(res.v(2,gnd),-11.05)
def test_nonlinear_ac():
''' Test that elements are linearised around DC operating point.
'''
pycircuit.circuit.circuit.default_toolkit = numeric
cir = SubCircuit()
vvec = np.linspace(-2, 2, 100)
ivec = np.exp(vvec / 10.)
nvec = ivec
cir['VB'] = VS(1, gnd, v=1, vac=1)
cir['RL'] = R(2, gnd, r=1e2)
cir['NVCCS'] = myVCCS(1, gnd, 2, gnd, vvec=vvec, ivec=ivec, nvec=nvec)
dc = DC(cir)
resdc = dc.solve()
#I=exp(v/10)
#gm=1/10*exp(v/10)
#gm(0)=0.1
#gm(0.1)=0.1*exp(0.1/10)
#V(2)=-vac*gm*RL=-gm*RL (-10 for v=0, -10.1 for v=0.1, -11.05 for v=0.5)
res = AC(cir, toolkit=numeric).solve(0)
assert_almost_equal(res.v(2, gnd), -11.05)
def test_transient_plot():
vvec = np.linspace(-2, 2, 100)
ivec = np.tanh(vvec)
nvec = ivec * 0 # no noise
c = SubCircuit()
n1, n2 = c.add_nodes('1', '2')
c['vsin'] = VSin(n1, gnd, freq=2e3, va=1, vo=1.)
c['vccs'] = myVCCS(n1, gnd, n2, gnd, ivec=ivec, vvec=vvec, nvec=nvec)
c['mycap'] = myC(n2, gnd)
c['rl'] = R(n2, gnd, r=2.0)
tran = Transient(c)
res = tran.solve(tend=1e-3, timestep=1e-5)
plotall(res.v(n1), res.v(n2))
pylab.show()
def test_transient_plot():
vvec=np.linspace(-2,2,100)
ivec=np.tanh(vvec)
nvec=ivec*0 # no noise
c = SubCircuit()
n1,n2 = c.add_nodes('1', '2')
c['vsin'] = VSin(n1, gnd, freq=2e3, va=1, vo=1.)
c['vccs'] = myVCCS(n1, gnd, n2, gnd, ivec=ivec, vvec=vvec, nvec=nvec)
c['mycap'] = myC(n2, gnd)
c['rl'] = R(n2, gnd, r=2.0)
tran = Transient(c)
res = tran.solve(tend=1e-3, timestep=1e-5)
plotall(res.v(n1),res.v(n2))
pylab.show()
def test_nonlinear_gm():
'''Check gm as a function of bias.
'''
pycircuit.circuit.circuit.default_toolkit = numeric
vvec = np.linspace(-2, 2, 100)
ivec = vvec**2
nvec = ivec
vb = 0.1
iNVCCS = myVCCS(1, 2, 3, 4, vvec=vvec, ivec=ivec, nvec=nvec)
iVCCS = VCCS(1, 2, 3, 4, gm=2 * vb)
G = iNVCCS.G(array([vb, 0, 0, 0]))
GLin = iVCCS.G(array([vb, 0, 0, 0]))
assert_array_equal(G, GLin)
def test_nonlinear_gm():
'''Check gm as a function of bias.
'''
pycircuit.circuit.circuit.default_toolkit = numeric
vvec=np.linspace(-2,2,100)
ivec=vvec**2
nvec=ivec
vb=0.1
iNVCCS=myVCCS(1, 2, 3, 4, vvec=vvec, ivec=ivec, nvec=nvec)
iVCCS=VCCS(1, 2, 3, 4, gm=2*vb)
G=iNVCCS.G(array([vb,0,0,0]))
GLin=iVCCS.G(array([vb,0,0,0]))
assert_array_equal(G,GLin)
def test_source_degen():
'''Test myVCCS in a source-degeneration configuration'''
pycircuit.circuit.circuit.default_toolkit = numeric
cir = SubCircuit()
vvec = np.linspace(-2, 2, 100)
ivec = np.exp(vvec / 10.)
nvec = ivec
cir['VB'] = VS(1, gnd, v=1.)
cir['RL'] = R(2, gnd, r=1e2)
cir['NVCCS'] = myVCCS(1, 3, 2, 3, vvec=vvec, ivec=-ivec, nvec=nvec)
cir['rd'] = R(3, gnd, r=10.) #This doesn't converge
cir['rd'] = R(3, gnd, r=1.) #This works
dc = DC(cir)
resdc = dc.solve()
assert_almost_equal(resdc.v(2, gnd), -110.5)
def test_source_degen():
'''Test myVCCS in a source-degeneration configuration'''
pycircuit.circuit.circuit.default_toolkit = numeric
cir=SubCircuit()
vvec=np.linspace(-2,2,100)
ivec=np.exp(vvec/10.)
nvec=ivec
cir['VB']=VS(1, gnd, v=1.)
cir['RL']=R(2, gnd, r=1e2)
cir['NVCCS']=myVCCS(1, 3, 2, 3, vvec=vvec, ivec=-ivec, nvec=nvec)
cir['rd'] = R(3,gnd,r=10.) #This doesn't converge
cir['rd'] = R(3,gnd,r=1.) #This works
dc = DC(cir)
resdc = dc.solve()
assert_almost_equal(resdc.v(2,gnd),-110.5)