Items tagged with simulation


I followed the basic example RLS circuit first. It worked out well for R = 24 ohms, L = 160 mHand C = 200 microF. Signal is step input h = 1 and  t0 =  0.1 s. Simulation td = 0.5 s

When I extended it for DC motor, the output for torque (tou) and speed (w) not plotted for h = 1  t0 =  1s and simulation td = 5 s for the same parameters as above the output required (shown in manual) is not coming. Is it because default values shown were different? Then how do i change? I am enclosing the file for view and help.




Ramakrishnan V

There is a horse a buggy ride around a small village which takes roughly 30 minutes.  Here is an example timing for 12 consecutive rides [34, 29, 32, 32, 28, 28, 27, 28, 39, 24, 27, 27].

How can I create a monte carlo simulation graph that would estimate the future times based on given data?  Do I randomly pick numbers from the given list for a simulation or generate random numbers based on mean and standard deviation generated from the data?

When would the best possible time to come back after 4 rides be?


I was playing around with the example "Simple Inverse Kinematic Problem" and found somethings to be odd:

the angular motion seems to be calculated from between pi and negative pi and this has some effects when using position block to move a joint.

the original angular displacement is graph below

the angular displacement after ik calculations have been performed:

if you run the simulation it seems to copy and mirror the input pendulum, however if you disable one of the IK solutions you see that infact its motion isn't like the input.

this becomes more prevailant when you use a position block to force rotation on a joint instead of using the 'prescribed rotation' blocks that comes with the example.

My question then:
why does this happen?
how do I work around this?

the importance that the motion is follow precisely becomes more prevailent when we want to extract other values such as vel, accel, torque. they are incorrect and very jumpy. Also simply put the angular displacement is wrong, how do I fix it?

(side note: I'm thinking  it has to do with the way arctan is calculated in maple limits it to stay in range -pi to pi
"For real arguments x, y, the two-argument function arctan(y, x), computes the principal value of the argument of the complex number x+Iy, so −π < arctan(y,x) ≤ π." from


I am trying to do an hourly simulation of a solar-thermal system. The method I am using requires an inital guess for a value which is used in a series of equations. That variable is then back calculated, and checked against the initial guess. If it is too far off, the back calculated value is used as the new guess and so on...

My question is twofold. First, is there a way to create a sort of module that can execute a number of steps when called upon (i.e. the iterative process described above). Second, how can I run this for each hour of the year (the weather inputs for each hour will change) without manually executing each one, one at a time. So far my guess is to make a matrix with the weather inputs for each hour, and then have some sort of loop read the rows (hours) one at a time, pull the data from it, run the series of steps, and then store the output for that hour in a new matrix. Is this the best way to do this? If so, which functions/tools in Maple should I look into that can do this for me?


Hi all

Is Ising a package?

for i = 1:12000

%while (1),

% Choose a random value between 0 and 1 for the interaction strength

J = rand()+1e-10;

% Perform a simulation

[M, N, E] = ising2(n_grid, J);

% Records the results

Ms = [Ms M/(n_grid^2)];

Es = [Es E/(n_grid^2)];

Ns = [Ns N];

Js = [Js J];

i = i+1;


I am a college student that is aspiring to become a theoretical theorist. I have postulates that are not in mathematical form yet, and I would like to use a program that can help with this process. I am new to the usage of Maple products, and I have questions. Is it possible to use Maple in this way, before getting to the difficult calculus steps? Can MapleSim or Maple Physics, perform simulations, or models of physics calculations?

Thank you,



How I can simulate control speed of car with sensor of speed, noise, feedback on maplesim?thanks

I never expected that the reflected light direction of sun from moon in the sky would be so dificult to imagine ...

at the following article mentioned :

we derive an equation for the magnitude of the moon tilt illusion that can be applied to all con gurations of sun and moon in the sky.



since the calculations contains many steps and high level mathematical formula , there is no way rather to recourse to maple (powerful math assistant )

I hope there was adaptations between a lots of functions and predefined schema of maple and this problem so that the calculations and visualization facilitated several times ?

your effort will be a graet present for all the people of the world that look to the moon crescent everytime !



I have many tests to conduct on a MapleSim model. At each test simulations, I would like to change slightly some parameters.

As I have many tests to do (with different parameters), I would like to use a script so as to do like this :

Parameters test1
Launch MapleSim simulation
Store results of test 1

And so on ...

How can I do this kind of script ?

Is it possible to store the 3D animation results ?

Thank you for your help.



When I click to start simulation button maple start counting but after that don't open visualization. When I open visualization manually, there aren't results of simulation. Program don´t show any error. It does not work with my models and examples to. Thanks for your help.

I'm drawing a complete blank on this. 

The probability of a branch breaking in a particular tree as someone climbs is 2%.  After the person has climbed over 40 branches, did any of them break?  I'm trying to set that up as a simulation in Maple but I'm not sure about how to do it. 

I guess if I generate a random number and it falls under .02 it breaks, is that how I determine that?


n := 0;
for i to 40 do
ran := evalf(rand()*10^(-12));
if ran < 0.2e-1 then n := n+1: end if:
end do:
print("Branch broke", n, "times")

I'm not sure I've got the probability right.


When I run a simulation (i.e. Double Pendulum Example) MapleSim crashes with no errors or dialogues - completely shuts down. The simulation seems to compile ok, then as the plots are opening it crashes. My video card driver is up to date. Anyone know how to fix this?


i click the web said USD99

but after click into it, academic version is USD1,555

there are commercial version, academic version , what are difference?

i see that there are self balance robot and humanoid walk robot

what are the specification of size, length of components are they?

if simulate robot hand which has a string make a tension to grip object

what kind of string is it? where can buy robots components which fit the simulations it do?

will maplesoft cooperate with 3D printer to fit the reality of robots?


I used to use windows 32 bit, but I have 64 bit windows now. I installed the MapleSim 6.4 and Maple 18 and try to run the simulations that I created with the 32 bit windows. I have this error 'Unable to compile (rc=1), please try again, and if that fails verify your Windows compiller installation'. Could you please let me know what should I do to eliminate this problem?



Hi , i need to write some maple functions for the equations below and i am not sure if this should be arrays or not. please see the question below;

Consider a factory which manufactures only one product. Raw material is bought from external supplier and stored until required.

Finished items are held in a warehouse. The operation of factory and its warehouse

can be modelled as a set of equations as folllows.

 Let us define at time t :

R(t) = Raw material stored (units)

F(t) = finished goods stock (units)

B(t) = order backlog (units)

T(t) = target stock level for finished goods (units)


All variables defined above give quantities at the start of week t.


X( t, t+1 )= weekly orders received from customers

M( t, t+1 )= raw material supplied per week.

P( t, t+1 )= production per week.

D(t, t+1 )= amount dispatched to customers per week.


All variables defined above give quantities over week t to t+1

(i.e over the week t). The operation of the factory and its warehouse can be expressed

as a set of equations given as follows:


Backlog and Stock Position

(1) B(t+1) = B(t)+X (t,t+1)–D(t,t+1)

(2) T(t+1) =(m +1)/m(X(t,t+1)+X(t–1,t)+…+X (t–m+1,t–m+2))


(assuming that the company wishes to maintain m (suppose m=5)) weeks stock of

finish items and hence the target level is m times the average of the last m–1 weeks)

(3) R (t+1)=R(t)+M(t,t+1)–P(t,t+1)

(4) F (t+1)=F (t) +P(t,t+1)–D(t,t+1)


(5) D (t,t+1) = B(t) if B(t)<F(t)

F (t) otherwise

(6) M (t,t+1) = P(t–1,t)

(7) P (t,t+1) = T(t) – F(t) + D(t,t+1)

= R(t) if result exceeds R(t)

= 0 if the result is negative


Given the initial values for the variables, it is possible to simulate this system to study

how the system will respond to the order rate. Suppose that all is calm, and the factory

has operated as follows for the last five weeks.

Target warehouse stock = 250

Finished goods stock = 250

Raw material stock = 150

Production rate = 50/week

Material supply rate = 50/week

Order rate = 50/week

Order backlog = 50


Suppose the behaviour continues for the first week of the simulation but that during

next week orders double due to the sales promotion. During the third week orders

drops to zero as all demand returns of the previous week was satisfied. For the fourth

week and the succeeding weeks, demand returns to an order rate of 50/week. What

happens elsewhere in the system? A deterministic simulation will provide the answer

to the above mentioned question.


 For this compute the following.

i) The values of the equations (1)–(4) at the start of week t.

ii) The values of the equations (5)–(7) i.e. the new values of the rates during

the following week.

iii) Move simulation time to the start of the next week.

Next simulation should be presented in tabular form and plot production and demand

rate to examine the performance of the system.


All help will be much appreciated.

Best Regards,


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