8
11

Delete article

Deleted articles cannot be recovered.

Draft of this article would be also deleted.

Are you sure you want to delete this article?

More than 5 years have passed since last update.

Pythonで常微分方程式を解く~万有引力

Last updated at Posted at 2017-09-10

はじめに

Pythonを使って万有引力の運動を解きます。

運動方程式(3体)

万有引力を受けて運動する3物体の運動方程式を以下に示します。
物体をs(sun;太陽), e(earth;地球), l(luna;月)の添え字で区別します。

質量

m_s \\
m_e \\
m_l \\

位置ベクトル

\vec{r_s} = (r_{sx}, r_{sy}, r_{sz}) \\
\vec{r_e} = (r_{ex}, r_{ey}, r_{ez}) \\
\vec{r_l} = (r_{lx}, r_{ly}, r_{lz}) \\

相対位置ベクトル

\vec{r_{se}} = \vec{r_e} - \vec{r_s} = - \vec{r_{es}} \\
\vec{r_{sl}} = \vec{r_l} - \vec{r_s} = - \vec{r_{ls}} \\
\vec{r_{el}} = \vec{r_l} - \vec{r_e} = - \vec{r_{le}} \\
r_{se} = | \vec{r_{se}} | = r_{es} \\
r_{sl} = | \vec{r_{sl}} | = r_{ls} \\
r_{el} = | \vec{r_{el}} | = r_{le} \\

速度ベクトル

\vec{v_s} = (v_{sx}, v_{sy}, v_{sz}) = \dot{\vec{r_s}} \\
\vec{v_e} = (v_{ex}, v_{ey}, v_{ez}) = \dot{\vec{r_e}} \\
\vec{v_l} = (v_{lx}, v_{ly}, v_{lz}) = \dot{\vec{r_l}} \\

運動方程式

\vec{F_s} = (F_{sx}, F_{sy}, F_{sz}) = m_s \ddot{\vec{r_s}} = m_s \dot{\vec{v_s}} \\
\vec{F_e} = (F_{ex}, F_{ey}, F_{ez}) = m_e \ddot{\vec{r_e}} = m_e \dot{\vec{v_e}} \\
\vec{F_l} = (F_{lx}, F_{ly}, F_{lz}) = m_l \ddot{\vec{r_l}} = m_l \dot{\vec{v_l}} \\

万有引力

\vec{F_s} = \vec{F_{se}} + \vec{F_{sl}} \\
\vec{F_e} = \vec{F_{es}} + \vec{F_{el}} \\
\vec{F_l} = \vec{F_{ls}} + \vec{F_{le}} \\
\vec{F_{se}} = - \vec{F_{es}} = G * m_s * m_e \frac{\vec{r_{se}}}{r_{se}^3} \\
\vec{F_{sl}} = - \vec{F_{ls}} = G * m_s * m_l \frac{\vec{r_{sl}}}{r_{sl}^3} \\
\vec{F_{el}} = - \vec{F_{le}} = G * m_e * m_l \frac{\vec{r_{el}}}{r_{el}^3} \\

万有引力を受けた3物体の運動方程式

m_s * \ddot{\vec{r_s}} = G * m_s * m_e \frac{\vec{r_{se}}}{r_{se}^3} + G * m_s * m_l \frac{\vec{r_{sl}}}{r_{sl}^3} \\
\dot{\vec{v_s}} = \ddot{\vec{r_s}} = G * m_e \frac{\vec{r_{se}}}{r_{se}^3} + G * m_l \frac{\vec{r_{sl}}}{r_{sl}^3} \\

m_e * \ddot{\vec{r_e}} = G * m_e * m_s \frac{\vec{r_{es}}}{r_{es}^3} + G * m_e * m_l \frac{\vec{r_{el}}}{r_{el}^3} \\
\dot{\vec{v_e}} = \ddot{\vec{r_e}} = G * m_s \frac{\vec{r_{es}}}{r_{es}^3} + G * m_l \frac{\vec{r_{el}}}{r_{el}^3} \\
\dot{\vec{v_e}} = \ddot{\vec{r_e}} = - G * m_s \frac{\vec{r_{se}}}{r_{se}^3} + G * m_l \frac{\vec{r_{el}}}{r_{el}^3} \\

m_l * \ddot{\vec{r_l}} = G * m_l * m_s \frac{\vec{r_{ls}}}{r_{ls}^3} + G * m_l * m_e \frac{\vec{r_{le}}}{r_{le}^3} \\
\dot{\vec{v_l}} = \ddot{\vec{r_l}} = G * m_s \frac{\vec{r_{ls}}}{r_{ls}^3} + G * m_e \frac{\vec{r_{le}}}{r_{le}^3} \\
\dot{\vec{v_l}} = \ddot{\vec{r_l}} = - G * m_s \frac{\vec{r_{sl}}}{r_{sl}^3} - G * m_e \frac{\vec{r_{el}}}{r_{el}^3} \\

scipy.integrate.odeの形式

万有引力の運動方程式をscipy.integrate.odeで扱う形式で表現します。

\vec{y} = (\vec{r_{s}}, \vec{r_{e}}, \vec{r_{l}}, \vec{v_{s}}, \vec{v_{e}}, \vec{v_{l}}) \\
\dot{\vec{y}} = (\dot{\vec{r_{s}}}, \dot{\vec{r_{e}}}, \dot{\vec{r_{l}}}, \dot{\vec{v_{s}}}, \dot{\vec{v_{e}}}, \dot{\vec{v_{l}}}) \\
\dot{\vec{y}} = (\vec{v_{s}}, \vec{v_{e}}, \vec{v_{l}}, \dot{\vec{v_{s}}}, \dot{\vec{v_{e}}}, \dot{\vec{v_{l}}}) \\
\dot{\vec{v_{s}}} = G * m_e \frac{\vec{r_{se}}}{r_{se}^3} + G * m_l \frac{\vec{r_{sl}}}{r_{sl}^3} \\
\dot{\vec{v_{e}}} = - G * m_s \frac{\vec{r_{se}}}{r_{se}^3} + G * m_l \frac{\vec{r_{el}}}{r_{el}^3} \\
\dot{\vec{v_{l}}} = - G * m_s \frac{\vec{r_{sl}}}{r_{sl}^3} - G * m_e \frac{\vec{r_{el}}}{r_{el}^3} \\

具体値

太陽、地球、月の質量、距離、速度、および、物理定数は次の通りです。

項目 記号 単位
万有引力定数 G 6.67E-11 m^3 kg^-1 s^-2
太陽質量 $m_s$ 1.99E+30 kg
地球質量 $m_e$ 5.97E+24 kg
月質量 $m_l$ 7.35E+22 kg
地球公転半径 $r_{se0}$ 1.50E+11 m
月公転半径 $r_{el0}$ 3.84E+08 m
地球公転速度 $v_{e0}$ 2.98E+04 m/s
月公転速度 $v_{l0}$ 1.02E+03 m/s

Python Program

test.py
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from scipy.integrate import ode

G = 6.67E-11
ms = 1.99E+30
me = 5.97E+24
ml = 7.35E+22
Gms = G*ms
Gme = G*me
Gml = G*ml
re0 = 1.50E+11
rl0 = 3.84E+08
ve0 = 2.98E+04
vl0 = 1.02E+03

# initial condition
# [0]:rsx,  [1]:rsy,  [2]:rsz,  [3]:rex,  [4]:rey,  [5]:rez, [6]:rlx,  [7]:rly,  [8]:rlz,  
# [9]:vsx, [10]:vsy, [11]:vsz, [12]:vex, [13]:vey, [14]:vez,[15]:vlx, [16]:vly, [17]:vlz,  
y0 = np.array([
  0,    # rsx
  0,    # rsy
  0,    # rsz
  re0,  # rex
  0,    # rey
  0,    # rez
  re0,  # rlx
  0,    # rly
  rl0,  # rlz
  0,    # vsx
  0,    # vsy
  0,    # vsz
  0,    # vex
  ve0,  # vey
  0,    # vez
  vl0,  # vlx
  ve0,  # vly
  0,    # vlz
])

# y
# [0]:rsx,  [1]:rsy,  [2]:rsz,  [3]:rex,  [4]:rey,  [5]:rez, [6]:rlx,  [7]:rly,  [8]:rlz,  
# [9]:vsx, [10]:vsy, [11]:vsz, [12]:vex, [13]:vey, [14]:vez,[15]:vlx, [16]:vly, [17]:vlz,  
# return
# [0]:rsx',  [1]:rsy',  [2]:rsz',  [3]:rex',  [4]:rey',  [5]:rez', [6]:rlx',  [7]:rly',  [8]:rlz',  
# [9]:vsx', [10]:vsy', [11]:vsz', [12]:vex', [13]:vey', [14]:vez',[15]:vlx', [16]:vly', [17]:vlz',  
def f(t, y):
    rse = np.array([y[3]-y[0], y[4]-y[1], y[5]-y[2]]) # sun to earth
    nse = np.linalg.norm(rse)
    rsl = np.array([y[6]-y[0], y[7]-y[1], y[8]-y[2]]) # sun to luna
    nsl = np.linalg.norm(rsl)
    rel = np.array([y[6]-y[3], y[7]-y[4], y[8]-y[5]]) # earth to luna
    nel = np.linalg.norm(rel)
    vsdot =   Gme * rse / nse**3 + Gml * rsl / nsl**3
    vedot = - Gms * rse / nse**3 + Gml * rel / nel**3
    vldot = - Gms * rsl / nsl**3 - Gme * rel / nel**3
    return [y[9], y[10], y[11], y[12], y[13], y[14], y[15], y[16], y[17],
            vsdot[0], vsdot[1], vsdot[2],
            vedot[0], vedot[1], vedot[2],
            vldot[0], vldot[1], vldot[2]]

solver = ode(f)
solver.set_integrator(name="dop853")
solver.set_initial_value(y0)

dt = 60 * 60 * 24
tw = dt * 365 * 2
ts = []
rsx = []
rsy = []
rsz = []
rex = []
rey = []
rez = []
rlx = []
rly = []
rlz = []
while solver.t < tw:
    solver.integrate(solver.t+dt)
    m = ms + me + ml;
    # center of mass
    com = [1/m * (ms * solver.y[0] + me * solver.y[3] + ml * solver.y[6]),
           1/m * (ms * solver.y[1] + me * solver.y[4] + ml * solver.y[7]),
           1/m * (ms * solver.y[2] + me * solver.y[5] + ml * solver.y[8])]
    ts += [solver.t]
    rsx += [solver.y[0] - com[0]]
    rsy += [solver.y[1] - com[1]]
    rsz += [solver.y[2] - com[2]]
    rex += [solver.y[3] - com[0]]
    rey += [solver.y[4] - com[1]]
    rez += [solver.y[5] - com[2]]
    rlx += [solver.y[6] - com[0]]
    rly += [solver.y[7] - com[1]]
    rlz += [solver.y[8] - com[2]]

plt.figure(0)
plt.axes(projection='3d')
plt.plot(rsx, rsy, rsz, "r-+")
plt.plot(rex, rey, rez, "b-+")
plt.plot(rlx, rly, rlz, "g-+")
plt.show()

実行結果

figure_0.png

8
11
0

Register as a new user and use Qiita more conveniently

  1. You get articles that match your needs
  2. You can efficiently read back useful information
  3. You can use dark theme
What you can do with signing up
8
11

Delete article

Deleted articles cannot be recovered.

Draft of this article would be also deleted.

Are you sure you want to delete this article?