from matplotlib.pyplot import subplot, title, plot, grid, show
from Siconos.Kernel import FirstOrderLinearDS, FirstOrderLinearTIR, \
ComplementarityConditionNSL, Interaction,\
Model, EulerMoreauOSI, TimeDiscretisation, LCP, \
TimeStepping
#
# dynamical system
#
init_stateLS1 = [VinitLS1, 0]
LS1_A = [[0, -1.0/Cvalue],
[1.0/Lvalue, 0 ]]
LS1DiodeBridgeCapFilter = FirstOrderLinearDS(init_stateLS1, LS1_A)
init_stateLS2 = [VinitLS2]
LS2_A = [[-1.0/(Rvalue*Cfilt)]]
LS2DiodeBridgeCapFilter = FirstOrderLinearDS(init_stateLS2, LS2_A)
#
# Interactions
#
C = [[0., 0., 1.0],
[0, 0., 0.0],
[-1., 0., 1.0],
[1., 0., 0.0]]
#theta = 0.5
theta = 1.0
alpha = .01
N = ceil((T-t0)/h)
# matrices
A = zeros((2,2))
A[0, 1] = 1
x0 = array([1.,10.])
B = 500*array([[alpha,1-alpha],[-(1-alpha),alpha]])
C = eye(2)
D = zeros((2,2))
# dynamical systems
process = FirstOrderLinearDS(x0, A)
myProcessRelation = MyR.MyR(C,B)
#myProcessRelation.setDPtr(D)
myNslaw = RelayNSL(2)
myNslaw.display()
myProcessInteraction = Interaction(ninter, myNslaw,
myProcessRelation)
myNSDS = NonSmoothDynamicalSystem()
myNSDS.insertDynamicalSystem(process)
myNSDS.link(myProcessInteraction,process)
filippov = Model(t0,T)
N = 2 * ceil((T - t0) / h) # number of time steps
outputSize = 5 # number of variable to store at each time step
# Matrix declaration
A = zeros((ndof, ndof))
x0 = [Xinit, -Xinit]
sensorC = eye(ndof)
Csurface = [[0, 1.0]]
# Simple check
if h > hControl:
print "hControl must be bigger than h"
exit(1)
# Declaration of the Dynamical System
processDS = FirstOrderLinearDS(x0, A)
processDS.setComputebFunction("RelayPlugin", "computeB")
# Model
process = Model(t0, T)
process.nonSmoothDynamicalSystem().insertDynamicalSystem(processDS)
# time discretisation
processTD = TimeDiscretisation(t0, h)
tSensor = TimeDiscretisation(t0, hControl)
tActuator = TimeDiscretisation(t0, hControl)
# Creation of the Simulation
processSimulation = TimeStepping(processTD, 0)
processSimulation.setName("plant simulation")
# Declaration of the integrator
processIntegrator = ZeroOrderHoldOSI(processDS)
processSimulation.insertIntegrator(processIntegrator)
# Actuator, Sensor & ControlManager
ninter = 2
theta = 0.5
alpha = .01
N = ceil((T-t0)/h)
# matrices
A = zeros((2,2))
A[0, 1] = 1
x0 = array([1.,10.])
B = 500*array([[alpha,1-alpha],[-(1-alpha),alpha]])
C = eye(2)
D = zeros((2,2))
# dynamical systems
process = FirstOrderLinearDS(x0, A)
myProcessRelation = ZhuravlevTwistingR(C,B)
myNslaw = RelayNSL(2)
myNslaw.display()
myProcessInteraction = Interaction(ninter, myNslaw,
myProcessRelation)
myNSDS = NonSmoothDynamicalSystem()
myNSDS.insertDynamicalSystem(process)
myNSDS.link(myProcessInteraction,process)
filippov = Model(t0,T)
filippov.setNonSmoothDynamicalSystemPtr(myNSDS)
from matplotlib.pyplot import subplot, title, plot, grid, show
from Siconos.Kernel import FirstOrderLinearDS, FirstOrderLinearTIR, \
ComplementarityConditionNSL, Interaction,\
Model, EulerMoreauOSI, TimeDiscretisation, LCP, \
TimeStepping
#
# dynamical system
#
init_state = [Vinit, 0]
A = [[0, -1.0/Cvalue],
[1.0/Lvalue, 0 ]]
LSDiodeBridge = FirstOrderLinearDS(init_state, A)
#
# Interactions
#
C = [[0., 0.],
[0, 0.],
[-1., 0.],
[1., 0.]]
D = [[1./Rvalue, 1./Rvalue, -1., 0.],
[1./Rvalue, 1./Rvalue, 0., -1.],
[1., 0., 0., 0.],
[0., 1., 0., 0.]]
outputSize = 5 # number of variable to store at each time step
# Matrix declaration
A = zeros((ndof, ndof))
x0 = [Xinit, -Xinit]
sensorC = eye(ndof)
Csurface = [[0, 1]]
Brel = [[0], [2]]
#Drel = [[0, 0]]
# Simple check
if h > hControl:
print "hControl must be bigger than h"
exit(1)
# Declaration of the Dynamical System
processDS = FirstOrderLinearDS(x0, A)
# Model
process = Model(t0, T)
process.nonSmoothDynamicalSystem().insertDynamicalSystem(processDS)
# time discretisation
processTD = TimeDiscretisation(t0, h)
tSensor = TimeDiscretisation(t0, hControl)
tActuator = TimeDiscretisation(t0, hControl)
# Creation of the Simulation
processSimulation = TimeStepping(processTD, 0)
processSimulation.setName("plant simulation")
# Declaration of the integrator
processIntegrator = ZeroOrderHoldOSI(processDS)
processSimulation.insertIntegrator(processIntegrator)
# Actuator, Sensor & ControlManager
control = ControlManager(process)
def test_diodebridge1():
from Siconos.Kernel import FirstOrderLinearDS, FirstOrderLinearTIR, \
ComplementarityConditionNSL, Interaction,\
Model, EulerMoreauOSI, TimeDiscretisation, LCP, \
TimeStepping
from numpy import empty
from Siconos.Kernel import SimpleMatrix, getMatrix
from numpy.linalg import norm
t0 = 0.0
T = 5.0e-3 # Total simulation time
h_step = 1.0e-6 # Time step
Lvalue = 1e-2 # inductance
Cvalue = 1e-6 # capacitance
Rvalue = 1e3 # resistance
Vinit = 10.0 # initial voltage
Modeltitle = "DiodeBridge"
#
# dynamical system
#
init_state = [Vinit, 0]
A = [[0, -1.0/Cvalue],
[1.0/Lvalue, 0 ]]
LSDiodeBridge=FirstOrderLinearDS(init_state, A)
#
# Interactions
#
C = [[0., 0.],
[0, 0.],
[-1., 0.],
[1., 0.]]
D = [[1./Rvalue, 1./Rvalue, -1., 0.],
[1./Rvalue, 1./Rvalue, 0., -1.],
[1., 0., 0., 0.],
[0., 1., 0., 0.]]
B = [[0., 0., -1./Cvalue, 1./Cvalue],
[0., 0., 0., 0. ]]
LTIRDiodeBridge=FirstOrderLinearTIR(C, B)
LTIRDiodeBridge.setDPtr(D)
LTIRDiodeBridge.display()
nslaw=ComplementarityConditionNSL(4)
InterDiodeBridge=Interaction(4, nslaw, LTIRDiodeBridge, 1)
#
# Model
#
DiodeBridge=Model(t0, T, Modeltitle)
# add the dynamical system in the non smooth dynamical system
DiodeBridge.nonSmoothDynamicalSystem().insertDynamicalSystem(LSDiodeBridge)
# link the interaction and the dynamical system
DiodeBridge.nonSmoothDynamicalSystem().link(InterDiodeBridge, LSDiodeBridge)
#
# Simulation
#
# (1) OneStepIntegrators
theta = 0.5
aOSI = EulerMoreauOSI(LSDiodeBridge, theta)
# (2) Time discretisation
aTiDisc = TimeDiscretisation(t0, h_step)
# (3) Non smooth problem
aLCP = LCP()
# (4) Simulation setup with (1) (2) (3)
aTS = TimeStepping(aTiDisc, aOSI, aLCP)
# end of model definition
#
# computation
#
# simulation initialization
DiodeBridge.initialize(aTS)
k = 0
h = aTS.timeStep()
print("Timestep : ", h)
# Number of time steps
N = (T-t0)/h
print("Number of steps : ", N)
# Get the values to be plotted
# ->saved in a matrix dataPlot
dataPlot = empty([N, 8])
x = LSDiodeBridge.x()
print("Initial state : ", x)
y = InterDiodeBridge.y(0)
print("First y : ", y)
lambda_ = InterDiodeBridge.lambda_(0)
# For the initial time step:
# time
dataPlot[k, 0] = t0
# inductor voltage
dataPlot[k, 1] = x[0]
# inductor current
dataPlot[k, 2] = x[1]
# diode R1 current
dataPlot[k, 3] = y[0]
# diode R1 voltage
dataPlot[k, 4] = - lambda_[0]
# diode F2 voltage
dataPlot[k, 5] = - lambda_[1]
# diode F1 current
dataPlot[k, 6] = lambda_[2]
# resistor current
dataPlot[k, 7] = y[0] + lambda_[2]
k += 1
while (k < N):
aTS.computeOneStep()
#aLCP.display()
dataPlot[k, 0] = aTS.nextTime()
# inductor voltage
dataPlot[k, 1] = x[0]
# inductor current
dataPlot[k, 2] = x[1]
# diode R1 current
dataPlot[k, 3] = y[0]
# diode R1 voltage
dataPlot[k, 4] = - lambda_[0]
# diode F2 voltage
dataPlot[k, 5] = - lambda_[1]
# diode F1 current
dataPlot[k, 6] = lambda_[2]
# resistor current
dataPlot[k, 7] = y[0] + lambda_[2]
k += 1
aTS.nextStep()
#
# comparison with the reference file
#
ref = getMatrix(SimpleMatrix("diode_bridge.ref"))
print(norm(dataPlot - ref))
assert (norm(dataPlot - ref) < 1e-12)
return ref, dataPlot
from matplotlib.pyplot import subplot, title, plot, grid, show
from Siconos.Kernel import FirstOrderLinearDS, FirstOrderLinearTIR, \
ComplementarityConditionNSL, Interaction,\
Model, EulerMoreauOSI, TimeDiscretisation, LCP, \
TimeStepping
#
# dynamical system
#
init_state = [Vinit, 0]
A = [[0, -1.0/Cvalue],
[1.0/Lvalue, 0 ]]
LSCircuitRLCD = FirstOrderLinearDS(init_state, A)
#
# Interactions
#
C = [[-1., 0.]]
D = [[Rvalue]]
B = [[ -1./Cvalue], [0.]]
LTIRCircuitRLCD = FirstOrderLinearTIR(C, B)
LTIRCircuitRLCD.setDPtr(D)
nslaw = ComplementarityConditionNSL(1)
Interaction,
Model,
EulerMoreauOSI,
TimeDiscretisation,
Relay,
TimeStepping,
)
#
# dynamical system
#
init_state = [0.0, xinit, 0]
A = [[0, 1.0, 0.0], [0.0, 0.0, 1.0], [0.0, -3.0, -2.0]]
LSRelayOscillator = FirstOrderLinearDS(init_state, A)
#
# Interactions
#
C = [[1.0, 0.0, 0.0]]
D = [[0.0]]
B = [[0.0], [0.0], [1.0]]
LTIRRelayOscillator = FirstOrderLinearTIR(C, B)
LTIRRelayOscillator.setDPtr(D)
nslaw = RelayNSL(1)
