How to solve system of 2nd order differential equations using ode45

조회 수: 124 (최근 30일)
Ryan Bowman
Ryan Bowman 2018년 12월 6일
답변: Bob 2023년 2월 14일
I have three 2nd order differential equations with my initial conditions and I'm trying to use the ode45 function in matlab to solve this. I wish to get the solution where my output is x,y,z position vs. time plot(2nd derivative) as well as a dx,dy,dz velocity vs. time plot. I get multiple errors and I'm not sure how to fix it. Here is my code:
%Clohessy-Wiltshire Equations
% d2x = 2*n*dy + 3*(n^2)*x;
% d2y = -2*n*dx;
% d2z = (-n^2)*z;
%
% %Initial Conditions
% x(0) = -0.066538073651029; %km
% y(0) = 0.186268907590665; %km
% z(0) = 0.000003725378152; %km
% dx(0) = -0.000052436200437; %km/s
% dy(0) = 0.000154811363681; %km/s
% dz(0) = 0.000210975508077; %km/s
%Constants
a = 6793.137; %km
mu = 398600.5; %km^3/s^2
n = sqrt(mu/a^3);
t0 = 0; %seconds
tf = 5400; %seconds
initial_condition = [x(0) y(0) z(0)]
[T,position] = ode45(@(t,position)Clohessy_Wiltshire(t,x,y,z),[t0 tf],initial_condition);
figure(1), hold on, plot(T,position(:,1),'b'), plot(T,position(:,2), 'r'), plot(T,position(:,3), 'g')
title('Position(X,Y,Z) vs. Time')
ylabel('Position(X,Y,Z)(km)')
xlabel('Time(s)')
figure(2), hold on, plot(T,position(:,4),'b'), plot(T,position(:,5), 'r'), plot(T,position(:,6), 'g')
title('Velocity(dX,dY,dZ) vs. Time')
ylabel('Velocity(dX,dY,dZ)')
xlabel('Time(s)')
function position = Clohessy_Wiltshire(~,x,y,z,dx,dy,dz,n)
x(0) = -0.066538073651029;
dx(0) = -0.000052436200437;
dx(2) = 2*n*dy;
y(0) = 0.186268907590665;
dy(0) = 0.000154811363681;
dy(2) = -2*n*dx;
z(0) = 0.000003725378152;
dz(0) = 0.000210975508077;
dz(2) = -n^2*z;
end
  댓글 수: 4
Ryan Bowman
Ryan Bowman 2018년 12월 6일
I'm not sure how to do that but these are the equations/initial conditions i'm given. Thanks. Screen Shot 2018-12-05 at 8.48.23 PM.png
Ryan Bowman
Ryan Bowman 2018년 12월 6일
I'm essentially just integrating these 3 2nd order differential equations.

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채택된 답변

madhan ravi
madhan ravi 2018년 12월 6일
편집: madhan ravi 2018년 12월 6일
Here you go!
syms x(t) y(t) z(t)
%Clohessy-Wiltshire Equations
% d2x = 2*n*dy + 3*(n^2)*x;
% d2y = -2*n*dx;
% d2z = (-n^2)*z;
%Constants
a = 6793.137; %km
mu = 398600.5; %km^3/s^2
n = sqrt(mu/a^3);
t0 = 0; %seconds
tf = 5400; %seconds
dx=diff(x,t);
dy=diff(y,t);
dz=diff(z,t);
%Initial Conditions
c1 = -0.066538073651029; %km
c2 =0.186268907590665; %km
c3 =0.000003725378152; %km
c4 = -0.000052436200437; %km/s
c5 =0.000154811363681; %km/s
c6 = 0.000210975508077; %km/s
y0 = [c1 c2 c3 c4 c5 c6];
eq1 = diff(x,2) == 2*n*dy + 3*(n^2)*x;
eq2 = diff(y,2) == -2*n*dx;
eq3 = diff(z,2) == (-n^2)*z;
vars = [x(t); y(t); z(t)]
V = odeToVectorField([eq1,eq2,eq3])
M = matlabFunction(V,'vars', {'t','Y'});
interval = [t0 tf]; %time interval
ySol = ode45(M,interval,y0);
tValues = linspace(interval(1),interval(2),1000);
yValues = deval(ySol,tValues,1); %number 1 denotes first position likewise you can mention 2 to 6 for the next 5 positions
plot(tValues,yValues) %if you want to plot position vs time just swap here
The graph of the first position looks like below:
  댓글 수: 5
James VanderVeen
James VanderVeen 2021년 4월 13일
You specifiy the variable:
vars = [x(t); y(t); z(t)]
But you never use it. Is there a reason for inserting this into the code?
Shantanu Chhaparia
Shantanu Chhaparia 2022년 2월 20일
hey! are there some examples (of system of higher order differential equation) on matlab site? If yes, can you please share the link. I was unable to locate them and I had certain doubts which might get cleared by looking over those. Thanks.

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추가 답변 (1개)

Bob
Bob 2023년 2월 14일
Hopefully, it is valid
% define n, where Earth GM : μ = 398600.442 km³/s²
n = sqrt(398600.442e9/earthRadius^3) ; % note: earthRadius < a
% and matrices A and B
A = [0 2 0; -2 0 0; 0 0 0].* n ;
B = [3 0 0; 0 0 0; 0 0 -1].* n^2 ;
% Define symbolic variable t and vector u(t) ≡ [x; ẋ]
syms t ;
syms u(t) [6,1] matrix ;
% Specify initial value / start position
s = [-66.538073651029;186.268907590665;0.003725378152;... % m
-0.052436200437; 0.154811363681;0.210975508077] ; % m/s
% Define ODE function...
M = @(t,u)[u(4:6); A*u(4:6) + B*u(1:3)] ;
% ...and solve by ode45 on (0;5400] time interval, s = u(0)
z = ode45(M,[0 5400],s) ;
r = 0:54:5400 ; % points range to plot the results
plot(r,deval(z,r,[1:3])); % distance [m] vs time
plot(r,deval(z,r,[4:6])); % velocity [m/s] vs time

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