Hello. I need help modifying this MatLab code. This is a basic slider-crank animation. the current program stops the animation and then has the crank move backward. I need the crank to instead to move in full 360 degrees circular motion. Exactly like how a slide-crank mechanism works in real life. thank you and here is the code.
%%Code Begins Here%%
L1=0.2; L2=0.45;
W=0.5;
tt=linspace(0,15);
for i=1:length(tt)
x2=@(t) L2+L1*sin(W*t);
y2=0;
X2=x2(tt(i));
Y2=y2;
sol= fsolve(@(x,x2,y2) root2d(x,X2,Y2),
[0,0]);
clf
hold on
plot(0,0,'b*','linewidth',20)
plot(sol(1),sol(2),'ro','linewidth',15)
plot([0 sol(1)], [0
sol(2)],'linewidth',5,'color','k')
plot(X2,Y2,'md','linewidth',15)
plot([X2 sol(1)], [Y2
sol(2)],'linewidth',5,'color','k')
ylim([-0.5 0.5])
xlim([-0.3 0.7])
hold off
drawnow
pause(0.025)
end
function F = root2d(x,x2,y2)
F(1) = (x(1)-x2)^2+(x(2)-y2)^2-0.45^2;
F(2) = (x(1))^2+(x(2))^2-0.2^2;
end
Hi, the code is correct, however you are a victim of a classic problem of the fsolve function which arises when it tries to solve conic equations with it. The problem of the fsolve function is that it always tries to approximate a solution closest to the point of initialization. So a graphical description of the problem is as follows
This was exactly what was happening. Fsolve simply chose to output (x,y) instead of (x,-y) and so your crank kept dancing in the upper half circle.
So the only way out of this problem is to keep a dynamic point of initialization. A graphical depication of the solution would be as follows
Thus we will have to include an algorithm which will automatically detect when the crank pin is crossing 180 or 360 degrees and change the initial point accordingly. I have provided both the text and the screenshot for your better understanding. The screenshot also has some comments for your help. Please note that the screenshot shows the part where the changes are implemented. The rest of the code is the same.
%%Code Begins Here%%
L1=0.2; L2=0.45; W=0.5; tt=linspace(0,15);
%This is the intial approximation of fsolve. This flips between
+ve and -ve value for each half cycle
a = 0.2;
%This is a flag to let the program know when the value of a is to
be
%flipped and which half-cycle is currently under process
flag = 0;
for i=1:length(tt)
x2=@(t) L2 + L1*sin(W*t);
y2=0;
X2=x2(tt(i));
Y2=y2;
sol = fsolve(@(x,x2,y2) root2d(x,X2,Y2), [0,a]); %Initial
conditions are to be flipped between (0,2) and (0,-2) for correct
solution
if sol(1) >= 0.199 && flag == 0 %alogrithm to flip the
value. Uses flag to make sure the value is flipped only once in a
half cycle.
a = a * -1;
flag = 1;
elseif sol(1) <= -0.199 && flag == 1
a = a * -1;
flag = 0;
end
clf
hold on
%Rest of the code same....
plot(0,0,'b*','linewidth',20);
plot(sol(1),sol(2),'ro','linewidth',15);
plot([0 sol(1)], [0 sol(2)],'linewidth',5,'color','k');
plot(X2,Y2,'md','linewidth',15);
plot([X2 sol(1)], [Y2 sol(2)],'linewidth',5,'color','k');
ylim([-0.5 0.5])
xlim([-0.3 0.7])
hold off
drawnow
pause(0.025)
end
function F = root2d(x,x2,y2)
F(1) = (x(1)-x2)^2+(x(2)-y2)^2-0.45^2;
F(2) = (x(1))^2+(x(2))^2-0.2^2;
end
Naturally it is not possible for me to attach an animation of the output here, but as it worked for me I am sure the code will work for you too.
*A humble request* - If you have any doubt, please use the comment section to communicate. Please be a little patient, it is an honest promise I will reply as soon as possible. This will clarify your doubt, and also help me to get better at answering your next questions. At the same time, If my answer helped you, please consider leaving an upvote. I hope you understand my viewpoint. Thank you :)
Hello. I need help modifying this MatLab code. This is a basic slider-crank animation. the current...
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explain to me what each line does and what is used for?
leave your comments as words, not as pictures.
.....................................................................................................................................................................
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% However, for a fucntion, you better NOT to start
% with them
%% End of cell mode example
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I NEED HELP WITH PART C AND D,
provided is part a and b!!!!
a)
chiNum <- c()
for (i in 1:1000)
{
g1 <- rnorm(20,10,4)
g2 <- rnorm(20,10,4)
g3 <- rnorm(20,10,4)
g4 <- rnorm(20,10,4)
g5 <- rnorm(20,10,4)
g6 <- rnorm(20,10,4)
mse <- (var(g1)+var(g2)+var(g3)+var(g4)+var(g5)+var(g6))/6
M <-
(mean(g1)+mean(g2)+mean(g3)+mean(g4)+mean(g5)+mean(g6))/6
msb <-
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chiNum[i] <- msb/mse
}
# plot a histogram of F statistics
h <- hist(chiNum,plot=FALSE)
ylim <- (range(0, 0.8))
x <- seq(0,6,0.01)
hist(chiNum,freq=FALSE, ylim=ylim)...
Please help me with this MATLAB programming problem! Im coding
iin MATLAB2018 if that makes any difference!
The first picture is the question i need to answer.
The picture below is used as reference to answer the
question.
The last picture (below) is the into to the problem, and is
used as reference.
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All I need help with is the matlab codes for B) and C)
Photos of answers are below.
Rate will be given for correct matlab code!
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