60 lines
1.5 KiB
Python
Executable File
60 lines
1.5 KiB
Python
Executable File
#!/usr/bin/env python
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import numpy as np
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from WheeledRobot import TankRobotEnv
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# TankRobot kinematics
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b = 1
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r = 0.1
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# wheel equations
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J = ...
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F = np.linalg.pinv(J)
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def controller_tank(t, X_I, dX_I):
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"""Controller Logic"""
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# example controller outputs
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radius = 2;
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period = 10
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# dX_R_des = np.array([[2*np.pi*radius/period],[0],[2*np.pi/period]])
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dX_R_des = np.array([[1],[0],[0]])
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# dX_R_des = np.array([[0],[1],[0]])
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# dX_R_des = np.array([[0],[0],[1]])
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U = J @ dX_R_des
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return U
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def run_simulation():
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"""Run simulation using Gymnasium environment"""
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env = TankRobotEnv(render_mode="human")
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observation, _ = env.reset()
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print("Starting Tank Robot Simulation")
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for step in range(200):
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# Extract controller inputs from observation
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time = observation[6] # Current time
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X_I = observation[:3].reshape(-1, 1) # State [x, y, theta]
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dX_I = observation[3:6].reshape(-1, 1) # Derivatives [dx, dy, dtheta]
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# Call original controller
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U = controller_tank(time, X_I, dX_I)
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# Step environment
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observation, reward, terminated, truncated, _ = env.step(U.flatten())
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# Render the environment
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env.render()
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if terminated or truncated:
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print(f"Simulation ended at step {step}")
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break
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input("Press Enter to close the simulation window...")
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env.close()
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print("Simulation completed")
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if __name__ == "__main__":
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run_simulation()
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