mirror of
https://github.com/AtsushiSakai/PythonRobotics.git
synced 2026-01-14 11:08:00 -05:00
cc3fd0c55e
* switched to using utils.angle_mod() * switched to using utils.angle_mod() * renamed mod2pi to pi_2_pi * Removed linting errors * switched to using utils.angle_mod() * switched to using utils.angle_mod() * renamed mod2pi to pi_2_pi * Removed linting errors * annotation changes and round precision * Reverted to mod2pi --------- Co-authored-by: Videh Patel <videh.patel@fluxauto.xyz>
81 lines
1.4 KiB
Python
81 lines
1.4 KiB
Python
"""
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Unicycle model class
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author Atsushi Sakai
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"""
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import math
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import numpy as np
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from utils.angle import angle_mod
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dt = 0.05 # [s]
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L = 0.9 # [m]
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steer_max = np.deg2rad(40.0)
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curvature_max = math.tan(steer_max) / L
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curvature_max = 1.0 / curvature_max + 1.0
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accel_max = 5.0
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class State:
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def __init__(self, x=0.0, y=0.0, yaw=0.0, v=0.0):
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self.x = x
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self.y = y
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self.yaw = yaw
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self.v = v
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def update(state, a, delta):
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state.x = state.x + state.v * math.cos(state.yaw) * dt
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state.y = state.y + state.v * math.sin(state.yaw) * dt
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state.yaw = state.yaw + state.v / L * math.tan(delta) * dt
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state.yaw = pi_2_pi(state.yaw)
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state.v = state.v + a * dt
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return state
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def pi_2_pi(angle):
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return angle_mod(angle)
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if __name__ == '__main__': # pragma: no cover
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print("start unicycle simulation")
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import matplotlib.pyplot as plt
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T = 100
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a = [1.0] * T
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delta = [np.deg2rad(1.0)] * T
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# print(delta)
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# print(a, delta)
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state = State()
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x = []
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y = []
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yaw = []
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v = []
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for (ai, di) in zip(a, delta):
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state = update(state, ai, di)
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x.append(state.x)
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y.append(state.y)
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yaw.append(state.yaw)
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v.append(state.v)
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plt.subplots(1)
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plt.plot(x, y)
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plt.axis("equal")
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plt.grid(True)
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plt.subplots(1)
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plt.plot(v)
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plt.grid(True)
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plt.show()
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