If you choose to use the graphical user interface (usually invoked with, you can use PyMbs to simulate the behaviour of your system. Essentially, what this does is writing the equations of motions to a Python file in a temporary directory using the usual code generation mechanism of PyMbs. Then it uses an ODE integrator from scipy to calculate the coordinates of the system at the next point in time. These can then be visualised in the GUI, provided you have supplied visualisation information in your script.

For larger systems, Python can become too slow to evaluate the time derivate for a smooth display of the motion of the system. In this case, you can use the buttons Compile Model in Fortran or Compile Model in C to speed up the calculation. Basically, this writes the time derivate as a Fortran or C function, as you would with PyMbs.Input.MbsSystem.GenCode, compiles it to a shared library, and calls this function using a Python wrapper.


The controller functionality provides the possibility to introduce loads whose value is determined by arbitrary Python code.

When you use PyMbs.Input.MbsSystem.addController(), the control function you supply is imported into the Python file containing the time derivative function. So for each time step, your control function is called, and then the result is used in the time derivative. This also works in conjunction with the Compile Model in C button, where your function is called from the Python wrapper. Currently, compiling a model with Fortran with a controller is not supported.

For an introduction on how to use controllers take a look at the Inverted Pendulum example. Additional examples with controllers can be found at Examples/controlledExamples.