Refactor angular_system out of 2016 intake
Change-Id: I82272ea74b375861f8472e735fd489b431614ebe
diff --git a/frc971/control_loops/python/BUILD b/frc971/control_loops/python/BUILD
index 705aa38..f2eb9e9 100644
--- a/frc971/control_loops/python/BUILD
+++ b/frc971/control_loops/python/BUILD
@@ -145,3 +145,16 @@
"@matplotlib",
],
)
+
+py_library(
+ name = "angular_system",
+ srcs = ["angular_system.py"],
+ restricted_to = ["//tools:k8"],
+ visibility = ["//visibility:public"],
+ deps = [
+ ":controls",
+ "//aos/util:py_trapezoid_profile",
+ "//frc971/control_loops:python_init",
+ "@matplotlib",
+ ],
+)
diff --git a/frc971/control_loops/python/angular_system.py b/frc971/control_loops/python/angular_system.py
new file mode 100755
index 0000000..e5dd199
--- /dev/null
+++ b/frc971/control_loops/python/angular_system.py
@@ -0,0 +1,373 @@
+#!/usr/bin/python
+
+from aos.util.trapezoid_profile import TrapezoidProfile
+from frc971.control_loops.python import control_loop
+from frc971.control_loops.python import controls
+import numpy
+from matplotlib import pylab
+import glog
+
+
+class AngularSystemParams(object):
+ def __init__(self,
+ name,
+ motor,
+ G,
+ J,
+ q_pos,
+ q_vel,
+ kalman_q_pos,
+ kalman_q_vel,
+ kalman_q_voltage,
+ kalman_r_position,
+ dt=0.005):
+ self.name = name
+ self.motor = motor
+ self.G = G
+ self.J = J
+ self.q_pos = q_pos
+ self.q_vel = q_vel
+ self.kalman_q_pos = kalman_q_pos
+ self.kalman_q_vel = kalman_q_vel
+ self.kalman_q_voltage = kalman_q_voltage
+ self.kalman_r_position = kalman_r_position
+ self.dt = dt
+
+
+class AngularSystem(control_loop.ControlLoop):
+ def __init__(self, params, name="AngularSystem"):
+ super(AngularSystem, self).__init__(name)
+ self.params = params
+
+ self.motor = params.motor
+
+ # Gear ratio
+ self.G = params.G
+
+ # Moment of inertia in kg m^2
+ self.J = params.J + self.motor.motor_inertia / (self.G ** 2.0)
+
+ # Control loop time step
+ self.dt = params.dt
+
+ # State is [position, velocity]
+ # Input is [Voltage]
+ C1 = self.motor.Kt / (self.G * self.G * self.motor.resistance *
+ self.J * self.motor.Kv)
+ C2 = self.motor.Kt / (self.G * self.J * self.motor.resistance)
+
+ self.A_continuous = numpy.matrix([[0, 1], [0, -C1]])
+
+ # Start with the unmodified input
+ self.B_continuous = numpy.matrix([[0], [C2]])
+ glog.debug(repr(self.A_continuous))
+ glog.debug(repr(self.B_continuous))
+
+ self.C = numpy.matrix([[1, 0]])
+ self.D = numpy.matrix([[0]])
+
+ self.A, self.B = self.ContinuousToDiscrete(self.A_continuous,
+ self.B_continuous, self.dt)
+
+ controllability = controls.ctrb(self.A, self.B)
+ glog.debug('Controllability of %d',
+ numpy.linalg.matrix_rank(controllability))
+ glog.debug('J: %f', self.J)
+ glog.debug('Stall torque: %f', self.motor.stall_torque / self.G)
+ glog.debug('Stall acceleration: %f',
+ self.motor.stall_torque / self.G / self.J)
+
+ glog.debug('Free speed is %f',
+ -self.B_continuous[1, 0] / self.A_continuous[1, 1] * 12.0)
+
+ self.Q = numpy.matrix([[(1.0 / (self.params.q_pos**2.0)), 0.0],
+ [0.0, (1.0 / (self.params.q_vel**2.0))]])
+
+ self.R = numpy.matrix([[(1.0 / (12.0**2.0))]])
+ self.K = controls.dlqr(self.A, self.B, self.Q, self.R)
+
+ q_pos_ff = 0.005
+ q_vel_ff = 1.0
+ self.Qff = numpy.matrix([[(1.0 / (q_pos_ff**2.0)), 0.0],
+ [0.0, (1.0 / (q_vel_ff**2.0))]])
+
+ self.Kff = controls.TwoStateFeedForwards(self.B, self.Qff)
+
+ glog.debug('K %s', repr(self.K))
+ glog.debug('Poles are %s',
+ repr(numpy.linalg.eig(self.A - self.B * self.K)[0]))
+
+ self.Q = numpy.matrix([[(self.params.kalman_q_pos**2.0), 0.0],
+ [0.0, (self.params.kalman_q_vel**2.0)]])
+
+ self.R = numpy.matrix([[(self.params.kalman_r_position**2.0)]])
+
+ self.KalmanGain, self.Q_steady = controls.kalman(
+ A=self.A, B=self.B, C=self.C, Q=self.Q, R=self.R)
+
+ glog.debug('Kal %s', repr(self.KalmanGain))
+
+ # The box formed by U_min and U_max must encompass all possible values,
+ # or else Austin's code gets angry.
+ self.U_max = numpy.matrix([[12.0]])
+ self.U_min = numpy.matrix([[-12.0]])
+
+ self.InitializeState()
+
+
+class IntegralAngularSystem(AngularSystem):
+ def __init__(self, params, name="IntegralAngularSystem"):
+ super(IntegralAngularSystem, self).__init__(params, name=name)
+
+ self.A_continuous_unaugmented = self.A_continuous
+ self.B_continuous_unaugmented = self.B_continuous
+
+ self.A_continuous = numpy.matrix(numpy.zeros((3, 3)))
+ self.A_continuous[0:2, 0:2] = self.A_continuous_unaugmented
+ self.A_continuous[0:2, 2] = self.B_continuous_unaugmented
+
+ self.B_continuous = numpy.matrix(numpy.zeros((3, 1)))
+ self.B_continuous[0:2, 0] = self.B_continuous_unaugmented
+
+ self.C_unaugmented = self.C
+ self.C = numpy.matrix(numpy.zeros((1, 3)))
+ self.C[0:1, 0:2] = self.C_unaugmented
+
+ self.A, self.B = self.ContinuousToDiscrete(self.A_continuous,
+ self.B_continuous, self.dt)
+
+ self.Q = numpy.matrix(
+ [[(self.params.kalman_q_pos**2.0), 0.0, 0.0],
+ [0.0, (self.params.kalman_q_vel**2.0), 0.0],
+ [0.0, 0.0, (self.params.kalman_q_voltage**2.0)]])
+
+ self.R = numpy.matrix([[(self.params.kalman_r_position**2.0)]])
+
+ self.KalmanGain, self.Q_steady = controls.kalman(
+ A=self.A, B=self.B, C=self.C, Q=self.Q, R=self.R)
+
+ self.K_unaugmented = self.K
+ self.K = numpy.matrix(numpy.zeros((1, 3)))
+ self.K[0, 0:2] = self.K_unaugmented
+ self.K[0, 2] = 1
+
+ self.Kff = numpy.concatenate(
+ (self.Kff, numpy.matrix(numpy.zeros((1, 1)))), axis=1)
+
+ self.InitializeState()
+
+
+def RunTest(plant,
+ end_goal,
+ controller,
+ observer=None,
+ duration=1.0,
+ use_profile=True,
+ kick_time=0.5,
+ kick_magnitude=0.0):
+ """Runs the plant with an initial condition and goal.
+
+ Args:
+ plant: plant object to use.
+ end_goal: end_goal state.
+ controller: AngularSystem object to get K from, or None if we should
+ use plant.
+ observer: AngularSystem object to use for the observer, or None if we
+ should use the actual state.
+ duration: float, time in seconds to run the simulation for.
+ kick_time: float, time in seconds to kick the robot.
+ kick_magnitude: float, disturbance in volts to apply.
+ """
+ t_plot = []
+ x_plot = []
+ v_plot = []
+ a_plot = []
+ x_goal_plot = []
+ v_goal_plot = []
+ x_hat_plot = []
+ u_plot = []
+ offset_plot = []
+
+ if controller is None:
+ controller = plant
+
+ vbat = 12.0
+
+ goal = numpy.concatenate(
+ (plant.X, numpy.matrix(numpy.zeros((1, 1)))), axis=0)
+
+ profile = TrapezoidProfile(plant.dt)
+ profile.set_maximum_acceleration(70.0)
+ profile.set_maximum_velocity(10.0)
+ profile.SetGoal(goal[0, 0])
+
+ U_last = numpy.matrix(numpy.zeros((1, 1)))
+ iterations = int(duration / plant.dt)
+ for i in xrange(iterations):
+ t = i * plant.dt
+ observer.Y = plant.Y
+ observer.CorrectObserver(U_last)
+
+ offset_plot.append(observer.X_hat[2, 0])
+ x_hat_plot.append(observer.X_hat[0, 0])
+
+ next_goal = numpy.concatenate(
+ (profile.Update(end_goal[0, 0], end_goal[1, 0]),
+ numpy.matrix(numpy.zeros((1, 1)))),
+ axis=0)
+
+ ff_U = controller.Kff * (next_goal - observer.A * goal)
+
+ if use_profile:
+ U_uncapped = controller.K * (goal - observer.X_hat) + ff_U
+ x_goal_plot.append(goal[0, 0])
+ v_goal_plot.append(goal[1, 0])
+ else:
+ U_uncapped = controller.K * (end_goal - observer.X_hat)
+ x_goal_plot.append(end_goal[0, 0])
+ v_goal_plot.append(end_goal[1, 0])
+
+ U = U_uncapped.copy()
+ U[0, 0] = numpy.clip(U[0, 0], -vbat, vbat)
+ x_plot.append(plant.X[0, 0])
+
+ if v_plot:
+ last_v = v_plot[-1]
+ else:
+ last_v = 0
+
+ v_plot.append(plant.X[1, 0])
+ a_plot.append((v_plot[-1] - last_v) / plant.dt)
+
+ u_offset = 0.0
+ if t >= kick_time:
+ u_offset = kick_magnitude
+ plant.Update(U + u_offset)
+
+ observer.PredictObserver(U)
+
+ t_plot.append(t)
+ u_plot.append(U[0, 0])
+
+ ff_U -= U_uncapped - U
+ goal = controller.A * goal + controller.B * ff_U
+
+ if U[0, 0] != U_uncapped[0, 0]:
+ profile.MoveCurrentState(
+ numpy.matrix([[goal[0, 0]], [goal[1, 0]]]))
+
+ glog.debug('Time: %f', t_plot[-1])
+ glog.debug('goal_error %s', repr(end_goal - goal))
+ glog.debug('error %s', repr(observer.X_hat - end_goal))
+
+ pylab.subplot(3, 1, 1)
+ pylab.plot(t_plot, x_plot, label='x')
+ pylab.plot(t_plot, x_hat_plot, label='x_hat')
+ pylab.plot(t_plot, x_goal_plot, label='x_goal')
+ pylab.legend()
+
+ pylab.subplot(3, 1, 2)
+ pylab.plot(t_plot, u_plot, label='u')
+ pylab.plot(t_plot, offset_plot, label='voltage_offset')
+ pylab.legend()
+
+ pylab.subplot(3, 1, 3)
+ pylab.plot(t_plot, a_plot, label='a')
+ pylab.legend()
+
+ pylab.show()
+
+
+def PlotStep(params, R):
+ """Plots a step move to the goal.
+
+ Args:
+ R: numpy.matrix(2, 1), the goal"""
+ plant = AngularSystem(params, params.name)
+ controller = IntegralAngularSystem(params, params.name)
+ observer = IntegralAngularSystem(params, params.name)
+
+ # Test moving the system.
+ initial_X = numpy.matrix([[0.0], [0.0]])
+ augmented_R = numpy.matrix(numpy.zeros((3, 1)))
+ augmented_R[0:2, :] = R
+ RunTest(
+ plant,
+ end_goal=augmented_R,
+ controller=controller,
+ observer=observer,
+ duration=2.0,
+ use_profile=False,
+ kick_time=1.0,
+ kick_magnitude=0.0)
+
+
+def PlotKick(params, R):
+ """Plots a step motion with a kick at 1.0 seconds.
+
+ Args:
+ R: numpy.matrix(2, 1), the goal"""
+ plant = AngularSystem(params, params.name)
+ controller = IntegralAngularSystem(params, params.name)
+ observer = IntegralAngularSystem(params, params.name)
+
+ # Test moving the system.
+ initial_X = numpy.matrix([[0.0], [0.0]])
+ augmented_R = numpy.matrix(numpy.zeros((3, 1)))
+ augmented_R[0:2, :] = R
+ RunTest(
+ plant,
+ end_goal=augmented_R,
+ controller=controller,
+ observer=observer,
+ duration=2.0,
+ use_profile=False,
+ kick_time=1.0,
+ kick_magnitude=2.0)
+
+
+def PlotMotion(params, R):
+ """Plots a trapezoidal motion.
+
+ Args:
+ R: numpy.matrix(2, 1), the goal,
+ """
+ plant = AngularSystem(params, params.name)
+ controller = IntegralAngularSystem(params, params.name)
+ observer = IntegralAngularSystem(params, params.name)
+
+ # Test moving the system.
+ initial_X = numpy.matrix([[0.0], [0.0]])
+ augmented_R = numpy.matrix(numpy.zeros((3, 1)))
+ augmented_R[0:2, :] = R
+ RunTest(
+ plant,
+ end_goal=augmented_R,
+ controller=controller,
+ observer=observer,
+ duration=2.0,
+ use_profile=True)
+
+
+def WriteAngularSystem(params, plant_files, controller_files, year_namespaces):
+ """Writes out the constants for a angular system to a file.
+
+ Args:
+ params: AngularSystemParams, the parameters defining the system.
+ plant_files: list of strings, the cc and h files for the plant.
+ controller_files: list of strings, the cc and h files for the integral
+ controller.
+ year_namespaces: list of strings, the namespace list to use.
+ """
+ # Write the generated constants out to a file.
+ angular_system = AngularSystem(params, params.name)
+ loop_writer = control_loop.ControlLoopWriter(
+ angular_system.name, [angular_system], namespaces=year_namespaces)
+ loop_writer.Write(plant_files[0], plant_files[1])
+
+ integral_angular_system = IntegralAngularSystem(params,
+ 'Integral' + params.name)
+ integral_loop_writer = control_loop.ControlLoopWriter(
+ integral_angular_system.name, [integral_angular_system],
+ namespaces=year_namespaces)
+ integral_loop_writer.Write(controller_files[0], controller_files[1])
diff --git a/frc971/control_loops/python/linear_system.py b/frc971/control_loops/python/linear_system.py
index 21fa4ec..7129e32 100755
--- a/frc971/control_loops/python/linear_system.py
+++ b/frc971/control_loops/python/linear_system.py
@@ -4,7 +4,6 @@
from frc971.control_loops.python import control_loop
from frc971.control_loops.python import controls
import numpy
-import sys
from matplotlib import pylab
import glog
@@ -48,7 +47,7 @@
self.G = params.G
self.radius = params.radius
- # 5.4 kg of moving mass for the linear_system
+ # Mass in kg
self.mass = params.mass + self.motor.motor_inertia / (
(self.G * self.radius)**2.0)
@@ -126,8 +125,6 @@
def __init__(self, params, name='IntegralLinearSystem'):
super(IntegralLinearSystem, self).__init__(params, name=name)
- self.kalman_q_voltage = params.kalman_q_voltage
-
self.A_continuous_unaugmented = self.A_continuous
self.B_continuous_unaugmented = self.B_continuous
@@ -180,10 +177,10 @@
Args:
plant: plant object to use.
end_goal: end_goal state.
- controller: Intake object to get K from, or None if we should
+ controller: LinearSystem object to get K from, or None if we should
use plant.
- observer: Intake object to use for the observer, or None if we should
- use the actual state.
+ observer: LinearSystem object to use for the observer, or None if we
+ should use the actual state.
duration: float, time in seconds to run the simulation for.
kick_time: float, time in seconds to kick the robot.
kick_magnitude: float, disturbance in volts to apply.
diff --git a/y2016/control_loops/python/BUILD b/y2016/control_loops/python/BUILD
index 08a34e8..93212d8 100644
--- a/y2016/control_loops/python/BUILD
+++ b/y2016/control_loops/python/BUILD
@@ -70,11 +70,10 @@
restricted_to = ["//tools:k8"],
deps = [
":python_init",
- "//aos/util:py_trapezoid_profile",
"//external:python-gflags",
"//external:python-glog",
+ "//frc971/control_loops/python:angular_system",
"//frc971/control_loops/python:controls",
- "@matplotlib",
],
)
diff --git a/y2016/control_loops/python/intake.py b/y2016/control_loops/python/intake.py
index abb755c..ceb4170 100755
--- a/y2016/control_loops/python/intake.py
+++ b/y2016/control_loops/python/intake.py
@@ -2,6 +2,7 @@
from aos.util.trapezoid_profile import TrapezoidProfile
from frc971.control_loops.python import control_loop
+from frc971.control_loops.python import angular_system
from frc971.control_loops.python import controls
import numpy
import sys
@@ -12,302 +13,41 @@
FLAGS = gflags.FLAGS
try:
- gflags.DEFINE_bool('plot', False, 'If true, plot the loop response.')
+ gflags.DEFINE_bool('plot', False, 'If true, plot the loop response.')
except gflags.DuplicateFlagError:
- pass
+ pass
-class Intake(control_loop.ControlLoop):
- def __init__(self, name="Intake"):
- super(Intake, self).__init__(name)
- # TODO(constants): Update all of these & retune poles.
- # Stall Torque in N m
- self.stall_torque = 0.71
- # Stall Current in Amps
- self.stall_current = 134
- # Free Speed in RPM
- self.free_speed = 18730
- # Free Current in Amps
- self.free_current = 0.7
-
- # Resistance of the motor
- self.R = 12.0 / self.stall_current
- # Motor velocity constant
- self.Kv = ((self.free_speed / 60.0 * 2.0 * numpy.pi) /
- (12.0 - self.R * self.free_current))
- # Torque constant
- self.Kt = self.stall_torque / self.stall_current
- # Gear ratio
- self.G = (56.0 / 12.0) * (54.0 / 14.0) * (64.0 / 18.0) * (48.0 / 16.0)
-
- # Moment of inertia, measured in CAD.
- # Extra mass to compensate for friction is added on.
- self.J = 0.34 + 0.40
-
- # Control loop time step
- self.dt = 0.005
-
- # State is [position, velocity]
- # Input is [Voltage]
-
- C1 = self.G * self.G * self.Kt / (self.R * self.J * self.Kv)
- C2 = self.Kt * self.G / (self.J * self.R)
-
- self.A_continuous = numpy.matrix(
- [[0, 1],
- [0, -C1]])
-
- # Start with the unmodified input
- self.B_continuous = numpy.matrix(
- [[0],
- [C2]])
-
- self.C = numpy.matrix([[1, 0]])
- self.D = numpy.matrix([[0]])
-
- self.A, self.B = self.ContinuousToDiscrete(
- self.A_continuous, self.B_continuous, self.dt)
-
- controllability = controls.ctrb(self.A, self.B)
-
- glog.debug("Free speed is %f", self.free_speed * numpy.pi * 2.0 / 60.0 / self.G)
-
- q_pos = 0.20
- q_vel = 5.0
- self.Q = numpy.matrix([[(1.0 / (q_pos ** 2.0)), 0.0],
- [0.0, (1.0 / (q_vel ** 2.0))]])
-
- self.R = numpy.matrix([[(1.0 / (12.0 ** 2.0))]])
- self.K = controls.dlqr(self.A, self.B, self.Q, self.R)
-
- q_pos_ff = 0.005
- q_vel_ff = 1.0
- self.Qff = numpy.matrix([[(1.0 / (q_pos_ff ** 2.0)), 0.0],
- [0.0, (1.0 / (q_vel_ff ** 2.0))]])
-
- self.Kff = controls.TwoStateFeedForwards(self.B, self.Qff)
-
- glog.debug('K %s', repr(self.K))
- glog.debug('Poles are %s',
- repr(numpy.linalg.eig(self.A - self.B * self.K)[0]))
-
- self.rpl = 0.30
- self.ipl = 0.10
- self.PlaceObserverPoles([self.rpl + 1j * self.ipl,
- self.rpl - 1j * self.ipl])
-
- glog.debug('L is %s', repr(self.L))
-
- q_pos = 0.10
- q_vel = 1.65
- self.Q = numpy.matrix([[(q_pos ** 2.0), 0.0],
- [0.0, (q_vel ** 2.0)]])
-
- r_volts = 0.025
- self.R = numpy.matrix([[(r_volts ** 2.0)]])
-
- self.KalmanGain, self.Q_steady = controls.kalman(
- A=self.A, B=self.B, C=self.C, Q=self.Q, R=self.R)
-
- glog.debug('Kal %s', repr(self.KalmanGain))
- self.L = self.A * self.KalmanGain
- glog.debug('KalL is %s', repr(self.L))
-
- # The box formed by U_min and U_max must encompass all possible values,
- # or else Austin's code gets angry.
- self.U_max = numpy.matrix([[12.0]])
- self.U_min = numpy.matrix([[-12.0]])
-
- self.InitializeState()
-
-class IntegralIntake(Intake):
- def __init__(self, name="IntegralIntake"):
- super(IntegralIntake, self).__init__(name=name)
-
- self.A_continuous_unaugmented = self.A_continuous
- self.B_continuous_unaugmented = self.B_continuous
-
- self.A_continuous = numpy.matrix(numpy.zeros((3, 3)))
- self.A_continuous[0:2, 0:2] = self.A_continuous_unaugmented
- self.A_continuous[0:2, 2] = self.B_continuous_unaugmented
-
- self.B_continuous = numpy.matrix(numpy.zeros((3, 1)))
- self.B_continuous[0:2, 0] = self.B_continuous_unaugmented
-
- self.C_unaugmented = self.C
- self.C = numpy.matrix(numpy.zeros((1, 3)))
- self.C[0:1, 0:2] = self.C_unaugmented
-
- self.A, self.B = self.ContinuousToDiscrete(
- self.A_continuous, self.B_continuous, self.dt)
-
- q_pos = 0.12
- q_vel = 2.00
- q_voltage = 4.0
- self.Q = numpy.matrix([[(q_pos ** 2.0), 0.0, 0.0],
- [0.0, (q_vel ** 2.0), 0.0],
- [0.0, 0.0, (q_voltage ** 2.0)]])
-
- r_pos = 0.05
- self.R = numpy.matrix([[(r_pos ** 2.0)]])
-
- self.KalmanGain, self.Q_steady = controls.kalman(
- A=self.A, B=self.B, C=self.C, Q=self.Q, R=self.R)
- self.L = self.A * self.KalmanGain
-
- self.K_unaugmented = self.K
- self.K = numpy.matrix(numpy.zeros((1, 3)))
- self.K[0, 0:2] = self.K_unaugmented
- self.K[0, 2] = 1
-
- self.Kff = numpy.concatenate((self.Kff, numpy.matrix(numpy.zeros((1, 1)))), axis=1)
-
- self.InitializeState()
-
-class ScenarioPlotter(object):
- def __init__(self):
- # Various lists for graphing things.
- self.t = []
- self.x = []
- self.v = []
- self.a = []
- self.x_hat = []
- self.u = []
- self.offset = []
-
- def run_test(self, intake, end_goal,
- controller_intake,
- observer_intake=None,
- iterations=200):
- """Runs the intake plant with an initial condition and goal.
-
- Args:
- intake: intake object to use.
- end_goal: end_goal state.
- controller_intake: Intake object to get K from, or None if we should
- use intake.
- observer_intake: Intake object to use for the observer, or None if we should
- use the actual state.
- iterations: Number of timesteps to run the model for.
- """
-
- if controller_intake is None:
- controller_intake = intake
-
- vbat = 12.0
-
- if self.t:
- initial_t = self.t[-1] + intake.dt
- else:
- initial_t = 0
-
- goal = numpy.concatenate((intake.X, numpy.matrix(numpy.zeros((1, 1)))), axis=0)
-
- profile = TrapezoidProfile(intake.dt)
- profile.set_maximum_acceleration(70.0)
- profile.set_maximum_velocity(10.0)
- profile.SetGoal(goal[0, 0])
-
- U_last = numpy.matrix(numpy.zeros((1, 1)))
- for i in xrange(iterations):
- observer_intake.Y = intake.Y
- observer_intake.CorrectObserver(U_last)
-
- self.offset.append(observer_intake.X_hat[2, 0])
- self.x_hat.append(observer_intake.X_hat[0, 0])
-
- next_goal = numpy.concatenate(
- (profile.Update(end_goal[0, 0], end_goal[1, 0]),
- numpy.matrix(numpy.zeros((1, 1)))),
- axis=0)
-
- ff_U = controller_intake.Kff * (next_goal - observer_intake.A * goal)
-
- U_uncapped = controller_intake.K * (goal - observer_intake.X_hat) + ff_U
- U = U_uncapped.copy()
- U[0, 0] = numpy.clip(U[0, 0], -vbat, vbat)
- self.x.append(intake.X[0, 0])
-
- if self.v:
- last_v = self.v[-1]
- else:
- last_v = 0
-
- self.v.append(intake.X[1, 0])
- self.a.append((self.v[-1] - last_v) / intake.dt)
-
- offset = 0.0
- if i > 100:
- offset = 2.0
- intake.Update(U + offset)
-
- observer_intake.PredictObserver(U)
-
- self.t.append(initial_t + i * intake.dt)
- self.u.append(U[0, 0])
-
- ff_U -= U_uncapped - U
- goal = controller_intake.A * goal + controller_intake.B * ff_U
-
- if U[0, 0] != U_uncapped[0, 0]:
- profile.MoveCurrentState(
- numpy.matrix([[goal[0, 0]], [goal[1, 0]]]))
-
- glog.debug('Time: %f', self.t[-1])
- glog.debug('goal_error %s', repr(end_goal - goal))
- glog.debug('error %s', repr(observer_intake.X_hat - end_goal))
-
- def Plot(self):
- pylab.subplot(3, 1, 1)
- pylab.plot(self.t, self.x, label='x')
- pylab.plot(self.t, self.x_hat, label='x_hat')
- pylab.legend()
-
- pylab.subplot(3, 1, 2)
- pylab.plot(self.t, self.u, label='u')
- pylab.plot(self.t, self.offset, label='voltage_offset')
- pylab.legend()
-
- pylab.subplot(3, 1, 3)
- pylab.plot(self.t, self.a, label='a')
- pylab.legend()
-
- pylab.show()
+kIntake = angular_system.AngularSystemParams(
+ name='Intake',
+ motor=control_loop.Vex775Pro(),
+ # (1 / 35.0) * (20.0 / 40.0) -> 16 tooth sprocket on #25 chain
+ G=(12.0 / 56.0) * (14.0 / 54.0) * (18.0 / 64.0) * (16.0 / 48.0),
+ J=0.34 - 0.03757568,
+ q_pos=0.20,
+ q_vel=5.0,
+ kalman_q_pos=0.12,
+ kalman_q_vel=2.0,
+ kalman_q_voltage=4.0,
+ kalman_r_position=0.05)
def main(argv):
- argv = FLAGS(argv)
- glog.init()
+ if FLAGS.plot:
+ R = numpy.matrix([[numpy.pi / 2.0], [0.0]])
+ angular_system.PlotMotion(kIntake, R)
- scenario_plotter = ScenarioPlotter()
+ # Write the generated constants out to a file.
+ if len(argv) != 5:
+ glog.fatal(
+ 'Expected .h file name and .cc file name for the intake and integral intake.'
+ )
+ else:
+ namespaces = ['y2016', 'control_loops', 'superstructure']
+ angular_system.WriteAngularSystem(kIntake, argv[1:3], argv[3:5],
+ namespaces)
- intake = Intake()
- intake_controller = IntegralIntake()
- observer_intake = IntegralIntake()
-
- # Test moving the intake with constant separation.
- initial_X = numpy.matrix([[0.0], [0.0]])
- R = numpy.matrix([[numpy.pi/2.0], [0.0], [0.0]])
- scenario_plotter.run_test(intake, end_goal=R,
- controller_intake=intake_controller,
- observer_intake=observer_intake, iterations=200)
-
- if FLAGS.plot:
- scenario_plotter.Plot()
-
- # Write the generated constants out to a file.
- if len(argv) != 5:
- glog.fatal('Expected .h file name and .cc file name for the intake and integral intake.')
- else:
- namespaces = ['y2016', 'control_loops', 'superstructure']
- intake = Intake("Intake")
- loop_writer = control_loop.ControlLoopWriter('Intake', [intake],
- namespaces=namespaces)
- loop_writer.Write(argv[1], argv[2])
-
- integral_intake = IntegralIntake("IntegralIntake")
- integral_loop_writer = control_loop.ControlLoopWriter("IntegralIntake", [integral_intake],
- namespaces=namespaces)
- integral_loop_writer.Write(argv[3], argv[4])
if __name__ == '__main__':
- sys.exit(main(sys.argv))
+ argv = FLAGS(sys.argv)
+ glog.init()
+ sys.exit(main(argv))
diff --git a/y2017/control_loops/python/BUILD b/y2017/control_loops/python/BUILD
index 3f23bde..50f5584 100644
--- a/y2017/control_loops/python/BUILD
+++ b/y2017/control_loops/python/BUILD
@@ -88,6 +88,7 @@
":python_init",
"//external:python-gflags",
"//external:python-glog",
+ "//frc971/control_loops/python:controls",
"//frc971/control_loops/python:linear_system",
],
)
diff --git a/y2019/control_loops/python/BUILD b/y2019/control_loops/python/BUILD
index 9dddf12..111bb79 100644
--- a/y2019/control_loops/python/BUILD
+++ b/y2019/control_loops/python/BUILD
@@ -67,6 +67,7 @@
":python_init",
"//external:python-gflags",
"//external:python-glog",
+ "//frc971/control_loops/python:controls",
"//frc971/control_loops/python:linear_system",
],
)