Control Theory Course
This course provides hands-on skills in modeling DC motors, designing PI controllers, analyzing stability, and evaluating control system performance using MATLAB or Python for robust speed control applications.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This straightforward Control Theory Course takes you through modelling DC motors, creating precise transfer functions, and grasping electromechanical dynamics for dependable speed control. You will examine stability with the Routh-Hurwitz criterion, develop practical P and PI controllers, interpret time and frequency responses, and confirm performance using MATLAB or Python, allowing for quick, well-recorded, and sturdy control solutions.
Elevify advantages
Develop skills
- DC motor modelling: derive G(s)=K/(Ts+1) and select realistic K, T values quickly.
- PI speed control: tune Kp, Ki for conveyor drives using fast, tested workflows.
- Stability checks: apply Routh-Hurwitz and root finding in MATLAB or Python.
- Time metrics: compute overshoot, settling time, and steady-state error in code.
- Frequency design: use Bode and margins to set safe bandwidth and robustness.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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