Control Theory Course
Master control theory for real engineering systems. Model DC motors, design P and PI controllers, analyze stability with Routh, and tune time- and frequency-domain performance using MATLAB or Python to achieve fast, robust conveyor speed control.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This concise Control Theory Course guides you through modeling DC motors, building accurate transfer functions, and understanding electromechanical dynamics for reliable speed control. You will analyze stability using the Routh-Hurwitz criterion, design practical P and PI controllers, interpret time and frequency responses, and validate performance with MATLAB or Python, enabling fast, well-documented, and robust control solutions.
Elevify advantages
Develop skills
- DC motor modeling: derive G(s)=K/(Ts+1) and choose realistic K, T values fast.
- PI speed control: tune Kp, Ki for conveyor drives using quick, proven 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 the 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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