Control Theory Course
This course provides essential skills in control theory for DC motor speed control, including modeling, controller design, stability analysis, and performance validation using MATLAB or Python.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This concise Control Theory Course guides you through modelling DC motors, building accurate transfer functions, and understanding electromechanical dynamics for reliable speed control. You will analyse 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 modelling: 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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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