Brian Silverman | 17f503e | 2015-08-02 18:17:18 -0700 | [diff] [blame] | 1 | #!/usr/bin/python |
| 2 | |
Austin Schuh | 9d4aca8 | 2015-11-08 14:41:31 -0800 | [diff] [blame^] | 3 | from frc971.control_loops.python import control_loop |
| 4 | import argparse |
Brian Silverman | 17f503e | 2015-08-02 18:17:18 -0700 | [diff] [blame] | 5 | import numpy |
| 6 | import sys |
| 7 | from matplotlib import pylab |
| 8 | |
| 9 | class SprungShooter(control_loop.ControlLoop): |
| 10 | def __init__(self, name="RawSprungShooter"): |
| 11 | super(SprungShooter, self).__init__(name) |
| 12 | # Stall Torque in N m |
| 13 | self.stall_torque = .4982 |
| 14 | # Stall Current in Amps |
| 15 | self.stall_current = 85 |
| 16 | # Free Speed in RPM |
| 17 | self.free_speed = 19300.0 |
| 18 | # Free Current in Amps |
| 19 | self.free_current = 1.2 |
| 20 | # Effective mass of the shooter in kg. |
| 21 | # This rough estimate should about include the effect of the masses |
| 22 | # of the gears. If this number is too low, the eigen values of self.A |
| 23 | # will start to become extremely small. |
| 24 | self.J = 200 |
| 25 | # Resistance of the motor, divided by the number of motors. |
| 26 | self.R = 12.0 / self.stall_current / 2.0 |
| 27 | # Motor velocity constant |
| 28 | self.Kv = ((self.free_speed / 60.0 * 2.0 * numpy.pi) / |
| 29 | (12.0 - self.R * self.free_current)) |
| 30 | # Torque constant |
| 31 | self.Kt = self.stall_torque / self.stall_current |
| 32 | # Spring constant for the springs, N/m |
| 33 | self.Ks = 2800.0 |
| 34 | # Maximum extension distance (Distance from the 0 force point on the |
| 35 | # spring to the latch position.) |
| 36 | self.max_extension = 0.32385 |
| 37 | # Gear ratio multiplied by radius of final sprocket. |
| 38 | self.G = 10.0 / 40.0 * 20.0 / 54.0 * 24.0 / 54.0 * 20.0 / 84.0 * 16.0 * (3.0 / 8.0) / (2.0 * numpy.pi) * 0.0254 |
| 39 | |
| 40 | # Control loop time step |
| 41 | self.dt = 0.01 |
| 42 | |
| 43 | # State feedback matrices |
| 44 | self.A_continuous = numpy.matrix( |
| 45 | [[0, 1], |
| 46 | [-self.Ks / self.J, |
| 47 | -self.Kt / self.Kv / (self.J * self.G * self.G * self.R)]]) |
| 48 | self.B_continuous = numpy.matrix( |
| 49 | [[0], |
| 50 | [self.Kt / (self.J * self.G * self.R)]]) |
| 51 | self.C = numpy.matrix([[1, 0]]) |
| 52 | self.D = numpy.matrix([[0]]) |
| 53 | |
| 54 | self.A, self.B = self.ContinuousToDiscrete( |
| 55 | self.A_continuous, self.B_continuous, self.dt) |
| 56 | |
| 57 | self.PlaceControllerPoles([0.45, 0.45]) |
| 58 | |
| 59 | self.rpl = .05 |
| 60 | self.ipl = 0.008 |
| 61 | self.PlaceObserverPoles([self.rpl, |
| 62 | self.rpl]) |
| 63 | |
| 64 | self.U_max = numpy.matrix([[12.0]]) |
| 65 | self.U_min = numpy.matrix([[-12.0]]) |
| 66 | |
| 67 | self.InitializeState() |
| 68 | |
| 69 | |
| 70 | class Shooter(SprungShooter): |
| 71 | def __init__(self, name="RawShooter"): |
| 72 | super(Shooter, self).__init__(name) |
| 73 | |
| 74 | # State feedback matrices |
| 75 | self.A_continuous = numpy.matrix( |
| 76 | [[0, 1], |
| 77 | [0, -self.Kt / self.Kv / (self.J * self.G * self.G * self.R)]]) |
| 78 | self.B_continuous = numpy.matrix( |
| 79 | [[0], |
| 80 | [self.Kt / (self.J * self.G * self.R)]]) |
| 81 | |
| 82 | self.A, self.B = self.ContinuousToDiscrete( |
| 83 | self.A_continuous, self.B_continuous, self.dt) |
| 84 | |
| 85 | self.PlaceControllerPoles([0.45, 0.45]) |
| 86 | |
| 87 | self.rpl = .05 |
| 88 | self.ipl = 0.008 |
| 89 | self.PlaceObserverPoles([self.rpl, |
| 90 | self.rpl]) |
| 91 | |
| 92 | self.U_max = numpy.matrix([[12.0]]) |
| 93 | self.U_min = numpy.matrix([[-12.0]]) |
| 94 | |
| 95 | self.InitializeState() |
| 96 | |
| 97 | |
| 98 | class SprungShooterDeltaU(SprungShooter): |
| 99 | def __init__(self, name="SprungShooter"): |
| 100 | super(SprungShooterDeltaU, self).__init__(name) |
| 101 | A_unaugmented = self.A |
| 102 | B_unaugmented = self.B |
| 103 | |
| 104 | self.A = numpy.matrix([[0.0, 0.0, 0.0], |
| 105 | [0.0, 0.0, 0.0], |
| 106 | [0.0, 0.0, 1.0]]) |
| 107 | self.A[0:2, 0:2] = A_unaugmented |
| 108 | self.A[0:2, 2] = B_unaugmented |
| 109 | |
| 110 | self.B = numpy.matrix([[0.0], |
| 111 | [0.0], |
| 112 | [1.0]]) |
| 113 | |
| 114 | self.C = numpy.matrix([[1.0, 0.0, 0.0]]) |
| 115 | self.D = numpy.matrix([[0.0]]) |
| 116 | |
| 117 | self.PlaceControllerPoles([0.50, 0.35, 0.80]) |
| 118 | |
| 119 | print "K" |
| 120 | print self.K |
| 121 | print "Placed controller poles are" |
| 122 | print numpy.linalg.eig(self.A - self.B * self.K)[0] |
| 123 | |
| 124 | self.rpl = .05 |
| 125 | self.ipl = 0.008 |
| 126 | self.PlaceObserverPoles([self.rpl + 1j * self.ipl, |
| 127 | self.rpl - 1j * self.ipl, 0.90]) |
| 128 | print "Placed observer poles are" |
| 129 | print numpy.linalg.eig(self.A - self.L * self.C)[0] |
| 130 | |
| 131 | self.U_max = numpy.matrix([[12.0]]) |
| 132 | self.U_min = numpy.matrix([[-12.0]]) |
| 133 | |
| 134 | self.InitializeState() |
| 135 | |
| 136 | |
| 137 | class ShooterDeltaU(Shooter): |
| 138 | def __init__(self, name="Shooter"): |
| 139 | super(ShooterDeltaU, self).__init__(name) |
| 140 | A_unaugmented = self.A |
| 141 | B_unaugmented = self.B |
| 142 | |
| 143 | self.A = numpy.matrix([[0.0, 0.0, 0.0], |
| 144 | [0.0, 0.0, 0.0], |
| 145 | [0.0, 0.0, 1.0]]) |
| 146 | self.A[0:2, 0:2] = A_unaugmented |
| 147 | self.A[0:2, 2] = B_unaugmented |
| 148 | |
| 149 | self.B = numpy.matrix([[0.0], |
| 150 | [0.0], |
| 151 | [1.0]]) |
| 152 | |
| 153 | self.C = numpy.matrix([[1.0, 0.0, 0.0]]) |
| 154 | self.D = numpy.matrix([[0.0]]) |
| 155 | |
| 156 | self.PlaceControllerPoles([0.55, 0.45, 0.80]) |
| 157 | |
| 158 | print "K" |
| 159 | print self.K |
| 160 | print "Placed controller poles are" |
| 161 | print numpy.linalg.eig(self.A - self.B * self.K)[0] |
| 162 | |
| 163 | self.rpl = .05 |
| 164 | self.ipl = 0.008 |
| 165 | self.PlaceObserverPoles([self.rpl + 1j * self.ipl, |
| 166 | self.rpl - 1j * self.ipl, 0.90]) |
| 167 | print "Placed observer poles are" |
| 168 | print numpy.linalg.eig(self.A - self.L * self.C)[0] |
| 169 | |
| 170 | self.U_max = numpy.matrix([[12.0]]) |
| 171 | self.U_min = numpy.matrix([[-12.0]]) |
| 172 | |
| 173 | self.InitializeState() |
| 174 | |
| 175 | |
| 176 | def ClipDeltaU(shooter, old_voltage, delta_u): |
| 177 | old_u = old_voltage |
| 178 | new_u = numpy.clip(old_u + delta_u, shooter.U_min, shooter.U_max) |
| 179 | return new_u - old_u |
| 180 | |
| 181 | def main(argv): |
Austin Schuh | 9d4aca8 | 2015-11-08 14:41:31 -0800 | [diff] [blame^] | 182 | parser = argparse.ArgumentParser(description='Calculate shooter.') |
| 183 | parser.add_argument('--plot', action='store_true', default=False, help='If true, plot') |
| 184 | parser.add_argument('shootercc') |
| 185 | parser.add_argument('shooterh') |
| 186 | parser.add_argument('unaugmented_shootercc') |
| 187 | parser.add_argument('unaugmented_shooterh') |
| 188 | |
| 189 | args = parser.parse_args(argv[1:]) |
| 190 | |
Brian Silverman | 17f503e | 2015-08-02 18:17:18 -0700 | [diff] [blame] | 191 | # Simulate the response of the system to a goal. |
| 192 | sprung_shooter = SprungShooterDeltaU() |
| 193 | raw_sprung_shooter = SprungShooter() |
| 194 | close_loop_x = [] |
| 195 | close_loop_u = [] |
| 196 | goal_position = -0.3 |
Austin Schuh | 9d4aca8 | 2015-11-08 14:41:31 -0800 | [diff] [blame^] | 197 | R = numpy.matrix([[goal_position], |
| 198 | [0.0], |
| 199 | [-sprung_shooter.A[1, 0] / sprung_shooter.A[1, 2] * |
| 200 | goal_position]]) |
Brian Silverman | 17f503e | 2015-08-02 18:17:18 -0700 | [diff] [blame] | 201 | voltage = numpy.matrix([[0.0]]) |
| 202 | for _ in xrange(500): |
| 203 | U = sprung_shooter.K * (R - sprung_shooter.X_hat) |
| 204 | U = ClipDeltaU(sprung_shooter, voltage, U) |
| 205 | sprung_shooter.Y = raw_sprung_shooter.Y + 0.01 |
| 206 | sprung_shooter.UpdateObserver(U) |
| 207 | voltage += U; |
| 208 | raw_sprung_shooter.Update(voltage) |
| 209 | close_loop_x.append(raw_sprung_shooter.X[0, 0] * 10) |
| 210 | close_loop_u.append(voltage[0, 0]) |
| 211 | |
Austin Schuh | 9d4aca8 | 2015-11-08 14:41:31 -0800 | [diff] [blame^] | 212 | if args.plot: |
| 213 | pylab.plot(range(500), close_loop_x) |
| 214 | pylab.plot(range(500), close_loop_u) |
| 215 | pylab.show() |
Brian Silverman | 17f503e | 2015-08-02 18:17:18 -0700 | [diff] [blame] | 216 | |
| 217 | shooter = ShooterDeltaU() |
| 218 | raw_shooter = Shooter() |
| 219 | close_loop_x = [] |
| 220 | close_loop_u = [] |
| 221 | goal_position = -0.3 |
| 222 | R = numpy.matrix([[goal_position], [0.0], [-shooter.A[1, 0] / shooter.A[1, 2] * goal_position]]) |
| 223 | voltage = numpy.matrix([[0.0]]) |
| 224 | for _ in xrange(500): |
| 225 | U = shooter.K * (R - shooter.X_hat) |
| 226 | U = ClipDeltaU(shooter, voltage, U) |
| 227 | shooter.Y = raw_shooter.Y + 0.01 |
| 228 | shooter.UpdateObserver(U) |
| 229 | voltage += U; |
| 230 | raw_shooter.Update(voltage) |
| 231 | close_loop_x.append(raw_shooter.X[0, 0] * 10) |
| 232 | close_loop_u.append(voltage[0, 0]) |
| 233 | |
Austin Schuh | 9d4aca8 | 2015-11-08 14:41:31 -0800 | [diff] [blame^] | 234 | if args.plot: |
| 235 | pylab.plot(range(500), close_loop_x) |
| 236 | pylab.plot(range(500), close_loop_u) |
| 237 | pylab.show() |
Brian Silverman | 17f503e | 2015-08-02 18:17:18 -0700 | [diff] [blame] | 238 | |
| 239 | # Write the generated constants out to a file. |
Austin Schuh | 9d4aca8 | 2015-11-08 14:41:31 -0800 | [diff] [blame^] | 240 | unaug_sprung_shooter = SprungShooter("RawSprungShooter") |
| 241 | unaug_shooter = Shooter("RawShooter") |
| 242 | namespaces = ['y2014', 'control_loops', 'shooter'] |
| 243 | unaug_loop_writer = control_loop.ControlLoopWriter("RawShooter", |
| 244 | [unaug_sprung_shooter, |
| 245 | unaug_shooter], |
| 246 | namespaces=namespaces) |
| 247 | unaug_loop_writer.Write(args.unaugmented_shooterh, |
| 248 | args.unaugmented_shootercc) |
Brian Silverman | 17f503e | 2015-08-02 18:17:18 -0700 | [diff] [blame] | 249 | |
Austin Schuh | 9d4aca8 | 2015-11-08 14:41:31 -0800 | [diff] [blame^] | 250 | sprung_shooter = SprungShooterDeltaU() |
| 251 | shooter = ShooterDeltaU() |
| 252 | loop_writer = control_loop.ControlLoopWriter("Shooter", |
| 253 | [sprung_shooter, shooter], |
| 254 | namespaces=namespaces) |
Brian Silverman | 17f503e | 2015-08-02 18:17:18 -0700 | [diff] [blame] | 255 | |
Austin Schuh | 9d4aca8 | 2015-11-08 14:41:31 -0800 | [diff] [blame^] | 256 | loop_writer.AddConstant(control_loop.Constant("kMaxExtension", "%f", |
Brian Silverman | 17f503e | 2015-08-02 18:17:18 -0700 | [diff] [blame] | 257 | sprung_shooter.max_extension)) |
Austin Schuh | 9d4aca8 | 2015-11-08 14:41:31 -0800 | [diff] [blame^] | 258 | loop_writer.AddConstant(control_loop.Constant("kSpringConstant", "%f", |
Brian Silverman | 17f503e | 2015-08-02 18:17:18 -0700 | [diff] [blame] | 259 | sprung_shooter.Ks)) |
Austin Schuh | 9d4aca8 | 2015-11-08 14:41:31 -0800 | [diff] [blame^] | 260 | loop_writer.Write(args.shooterh, args.shootercc) |
Brian Silverman | 17f503e | 2015-08-02 18:17:18 -0700 | [diff] [blame] | 261 | |
| 262 | if __name__ == '__main__': |
| 263 | sys.exit(main(sys.argv)) |