Files
PythonRobotics/PathPlanning/ClosedLoopRRTStar/unicycle_model.py
2018-11-23 11:03:50 +09:00

80 lines
1.4 KiB
Python

"""
Unicycle model class
author Atsushi Sakai
"""
import math
import numpy as np
dt = 0.05 # [s]
L = 0.9 # [m]
steer_max = np.deg2rad(40.0)
curvature_max = math.tan(steer_max) / L
curvature_max = 1.0 / curvature_max + 1.0
accel_max = 5.0
class State:
def __init__(self, x=0.0, y=0.0, yaw=0.0, v=0.0):
self.x = x
self.y = y
self.yaw = yaw
self.v = v
def update(state, a, delta):
state.x = state.x + state.v * math.cos(state.yaw) * dt
state.y = state.y + state.v * math.sin(state.yaw) * dt
state.yaw = state.yaw + state.v / L * math.tan(delta) * dt
state.yaw = pi_2_pi(state.yaw)
state.v = state.v + a * dt
return state
def pi_2_pi(angle):
return (angle + math.pi) % (2 * math.pi) - math.pi
if __name__ == '__main__':
print("start unicycle simulation")
import matplotlib.pyplot as plt
T = 100
a = [1.0] * T
delta = [np.deg2rad(1.0)] * T
# print(delta)
# print(a, delta)
state = State()
x = []
y = []
yaw = []
v = []
for (ai, di) in zip(a, delta):
state = update(state, ai, di)
x.append(state.x)
y.append(state.y)
yaw.append(state.yaw)
v.append(state.v)
plt.subplots(1)
plt.plot(x, y)
plt.axis("equal")
plt.grid(True)
plt.subplots(1)
plt.plot(v)
plt.grid(True)
plt.show()