A window appeared — no download needed since the Control System Toolbox was already installed. But when Alex tried on a home laptop without the toolbox, they got an error.
For those seeking a free alternative, the community has created forks like PIDscope , which is designed to run on the open-source Octave platform. Installation Guide pid toolbox download
s = ct.TransferFunction.s G = 1/(s**2 + s + 1) # Plant model pid = ct.pid(1, 1, 0.1) # P, I, D gains closed_loop = ct.feedback(pid * G) t, y = ct.step_response(closed_loop) plt.plot(t, y) plt.title('PID Step Response') plt.show() A window appeared — no download needed since
As of early 2026, the software has transitioned from a completely free model to a low-cost "pro" version to support ongoing development. Installation Guide s = ct
After downloading the python-control toolbox, Alex loaded their plant model, used pidtune() (similar to MATLAB’s), and got stable gains in 10 minutes. The 3D printer heated smoothly without overshoot.