雙擺系統的動畫模擬

相關文檔： 單擺和雙擺模擬

用odeint解雙擺系統

文件名: double_pendulum_odeint.py

# -*- coding: utf-8 -*-

from math import sin,cos
import numpy as np
from scipy.integrate import odeint

g = 9.8

class DoublePendulum(object):
    def __init__(self, m1, m2, l1, l2):
        self.m1, self.m2, self.l1, self.l2 = m1, m2, l1, l2
        self.init_status = np.array([0.0,0.0,0.0,0.0])
        
    def equations(self, w, t):
        """
        微分方程公式
        """
        m1, m2, l1, l2 = self.m1, self.m2, self.l1, self.l2
        th1, th2, v1, v2 = w
        dth1 = v1
        dth2 = v2
        
        #eq of th1
        a = l1*l1*(m1+m2)  # dv1 parameter
        b = l1*m2*l2*cos(th1-th2) # dv2 paramter
        c = l1*(m2*l2*sin(th1-th2)*dth2*dth2 + (m1+m2)*g*sin(th1))
        
        #eq of th2
        d = m2*l2*l1*cos(th1-th2) # dv1 parameter
        e = m2*l2*l2 # dv2 parameter
        f = m2*l2*(-l1*sin(th1-th2)*dth1*dth1 + g*sin(th2))
        
        dv1, dv2 = np.linalg.solve([[a,b],[d,e]], [-c,-f])
        
        return np.array([dth1, dth2, dv1, dv2])
        
def double_pendulum_odeint(pendulum, ts, te, tstep):
    """
    對雙擺系統的微分方程組進行數值求解，返回兩個小球的X-Y坐標
    """
    t = np.arange(ts, te, tstep)
    track = odeint(pendulum.equations, pendulum.init_status, t)
    th1_array, th2_array = track[:,0], track[:, 1]
    l1, l2 = pendulum.l1, pendulum.l2
    x1 = l1*np.sin(th1_array)
    y1 = -l1*np.cos(th1_array)
    x2 = x1 + l2*np.sin(th2_array)
    y2 = y1 - l2*np.cos(th2_array)
    pendulum.init_status = track[-1,:].copy() #將最后的狀態賦給pendulum
    return [x1, y1, x2, y2]

if __name__ == "__main__":    
    import matplotlib.pyplot as pl
    pendulum = DoublePendulum(1.0, 2.0, 1.0, 2.0) 
    th1, th2 = 1.0, 2.0
    pendulum.init_status[:2] = th1, th2
    x1, y1, x2, y2 = double_pendulum_odeint(pendulum, 0, 30, 0.02)
    pl.plot(x1,y1, label = u"上球")
    pl.plot(x2,y2, label = u"下球")
    pl.title(u"雙擺系統的軌跡, 初始角度=%s,%s" % (th1, th2))
    pl.legend()
    pl.axis("equal")
    pl.show()

擺動動畫

文件名: double_pendulum_animation.py

# -*- coding: utf-8 -*-
import matplotlib
matplotlib.use('WXAgg') # do this before importing pylab
import matplotlib.pyplot as pl
from double_pendulum_odeint import double_pendulum_odeint, DoublePendulum

fig = pl.figure(figsize=(4,4))
line1, = pl.plot([0,0], [0,0], "-o")
line2, = pl.plot([0,0], [0,0], "-o")
pl.axis("equal")
pl.xlim(-4,4)
pl.ylim(-4,2)

pendulum = DoublePendulum(1.0, 2.0, 1.0, 2.0)
pendulum.init_status[:] = 1.0, 2.0, 0, 0

x1, y1, x2, y2 = [],[],[],[]
idx = 0

def update_line(event):
    global x1, x2, y1, y2, idx
    if idx == len(x1):
        x1, y1, x2, y2 = double_pendulum_odeint(pendulum, 0, 1, 0.05)
        idx = 0 
    line1.set_xdata([0, x1[idx]])
    line1.set_ydata([0, y1[idx]])
    line2.set_xdata([x1[idx], x2[idx]])
    line2.set_ydata([y1[idx], y2[idx]])
    fig.canvas.draw()                 
    idx += 1

import wx
id = wx.NewId()
actor = fig.canvas.manager.frame
timer = wx.Timer(actor, id=id)
timer.Start(1)
wx.EVT_TIMER(actor, id, update_line)
pl.show()