Control Theory Course
Gain expertise in control theory for practical engineering applications. Learn to model DC motors, create P and PI controllers, check stability with Routh-Hurwitz, and optimise time and frequency performance via MATLAB or Python to deliver quick and reliable conveyor speed control solutions.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This focused Control Theory course teaches modelling of DC motors, creation of precise transfer functions, and grasp of electromechanical dynamics for effective speed control. Learners will study stability via Routh-Hurwitz method, develop P and PI controllers, examine time and frequency responses, and confirm results using MATLAB or Python for efficient, documented, and sturdy control systems.
Elevify advantages
Develop skills
- DC motor modelling: quickly derive G(s)=K/(Ts+1) with appropriate K and T values.
- PI speed control: adjust Kp and Ki for conveyor systems using reliable methods.
- Stability analysis: use Routh-Hurwitz criterion and root locus in MATLAB or Python.
- Time response metrics: calculate overshoot, settling time, and steady-state error.
- Frequency domain design: apply Bode plots and margins for bandwidth and stability.
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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