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							70 lines
						
					
					
						
							2.3 KiB
						
					
					
				
			
		
		
	
	
							70 lines
						
					
					
						
							2.3 KiB
						
					
					
				#!/usr/bin/env python3
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import math
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import unittest
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import numpy as np
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from control import StateSpace
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from openpilot.selfdrive.car.honda.interface import CarInterface
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from openpilot.selfdrive.car.honda.values import CAR
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from openpilot.selfdrive.controls.lib.vehicle_model import VehicleModel, dyn_ss_sol, create_dyn_state_matrices
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class TestVehicleModel(unittest.TestCase):
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  def setUp(self):
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    CP = CarInterface.get_non_essential_params(CAR.CIVIC)
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    self.VM = VehicleModel(CP)
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  def test_round_trip_yaw_rate(self):
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    # TODO: fix VM to work at zero speed
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    for u in np.linspace(1, 30, num=10):
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      for roll in np.linspace(math.radians(-20), math.radians(20), num=11):
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        for sa in np.linspace(math.radians(-20), math.radians(20), num=11):
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          yr = self.VM.yaw_rate(sa, u, roll)
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          new_sa = self.VM.get_steer_from_yaw_rate(yr, u, roll)
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          self.assertAlmostEqual(sa, new_sa)
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  def test_dyn_ss_sol_against_yaw_rate(self):
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    """Verify that the yaw_rate helper function matches the results
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    from the state space model."""
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    for roll in np.linspace(math.radians(-20), math.radians(20), num=11):
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      for u in np.linspace(1, 30, num=10):
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        for sa in np.linspace(math.radians(-20), math.radians(20), num=11):
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          # Compute yaw rate based on state space model
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          _, yr1 = dyn_ss_sol(sa, u, roll, self.VM)
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          # Compute yaw rate using direct computations
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          yr2 = self.VM.yaw_rate(sa, u, roll)
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          self.assertAlmostEqual(float(yr1[0]), yr2)
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  def test_syn_ss_sol_simulate(self):
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    """Verifies that dyn_ss_sol matches a simulation"""
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    for roll in np.linspace(math.radians(-20), math.radians(20), num=11):
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      for u in np.linspace(1, 30, num=10):
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        A, B = create_dyn_state_matrices(u, self.VM)
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        # Convert to discrete time system
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        ss = StateSpace(A, B, np.eye(2), np.zeros((2, 2)))
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        ss = ss.sample(0.01)
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        for sa in np.linspace(math.radians(-20), math.radians(20), num=11):
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          inp = np.array([[sa], [roll]])
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          # Simulate for 1 second
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          x1 = np.zeros((2, 1))
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          for _ in range(100):
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            x1 = ss.A @ x1 + ss.B @ inp
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          # Compute steady state solution directly
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          x2 = dyn_ss_sol(sa, u, roll, self.VM)
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          np.testing.assert_almost_equal(x1, x2, decimal=3)
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if __name__ == "__main__":
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  unittest.main()
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