| #!/usr/bin/python |
| |
| import control_loop |
| import numpy |
| import sys |
| from matplotlib import pylab |
| |
| class Transfer(control_loop.ControlLoop): |
| def __init__(self): |
| super(Transfer, self).__init__("Transfer") |
| # Stall Torque in N m |
| self.stall_torque = 0.4862 |
| # Stall Current in Amps |
| self.stall_current = 85 |
| # Free Speed in RPM |
| self.free_speed = 19300.0 |
| # Free Current in Amps |
| self.free_current = 1.5 |
| # Moment of inertia of the transfer in kg m^2 |
| self.J = 0.00013 |
| # Resistance of the motor |
| self.R = 12.0 / self.stall_current + 0.024 + .003 |
| # Motor velocity constant |
| self.Kv = ((self.free_speed / 60.0 * 2.0 * numpy.pi) / |
| (13.5 - self.R * self.free_current)) |
| # Torque constant |
| self.Kt = self.stall_torque / self.stall_current |
| # Gear ratio |
| self.G = 1.0 / ((40.0 / 11.0) * (34.0 / 30.0)) |
| # Control loop time step |
| self.dt = 0.01 |
| |
| # State feedback matrices |
| self.A_continuous = numpy.matrix( |
| [[0, 1], |
| [0, -self.Kt / self.Kv / (self.J * self.G * self.G * self.R)]]) |
| self.B_continuous = numpy.matrix( |
| [[0], |
| [self.Kt / (self.J * self.G * self.R)]]) |
| self.C = numpy.matrix([[1, 0]]) |
| self.D = numpy.matrix([[0]]) |
| |
| self.ContinuousToDiscrete(self.A_continuous, self.B_continuous, |
| self.dt, self.C) |
| |
| self.PlaceControllerPoles([.75, .6]) |
| |
| self.rpl = .05 |
| self.ipl = 0.008 |
| self.PlaceObserverPoles([self.rpl + 1j * self.ipl, |
| self.rpl - 1j * self.ipl]) |
| |
| self.U_max = numpy.matrix([[12.0]]) |
| self.U_min = numpy.matrix([[-12.0]]) |
| |
| |
| def main(argv): |
| # Simulate the response of the system to a step input. |
| transfer = Transfer() |
| simulated_x = [] |
| simulated_v = [] |
| for _ in xrange(100): |
| transfer.Update(numpy.matrix([[12.0]])) |
| simulated_x.append(transfer.X[0, 0]) |
| simulated_v.append(transfer.X[1, 0]) |
| |
| pylab.plot(range(100), simulated_v) |
| pylab.show() |
| |
| # Simulate the closed loop response of the system to a step input. |
| transfer = Transfer() |
| close_loop_x = [] |
| R = numpy.matrix([[1.0], [0.0]]) |
| for _ in xrange(100): |
| U = numpy.clip(transfer.K * (R - transfer.X_hat), transfer.U_min, transfer.U_max) |
| transfer.UpdateObserver(U) |
| transfer.Update(U) |
| close_loop_x.append(transfer.X[0, 0]) |
| |
| #pylab.plot(range(100), close_loop_x) |
| #pylab.show() |
| |
| # Write the generated constants out to a file. |
| if len(argv) != 3: |
| print "Expected .cc file name and .h file name" |
| else: |
| loop_writer = control_loop.ControlLoopWriter("Transfer", [transfer]) |
| if argv[1][-3:] == '.cc': |
| loop_writer.Write(argv[2], argv[1]) |
| else: |
| loop_writer.Write(argv[1], argv[2]) |
| |
| if __name__ == '__main__': |
| sys.exit(main(sys.argv)) |