Control Theory Course
Gain mastery in control theory for practical engineering applications. Model DC motors, create P and PI controllers, evaluate stability using Routh-Hurwitz, and optimise time and frequency performance with MATLAB or Python to deliver quick, reliable speed control for conveyor systems and beyond.

from 4 to 360h flexible workload
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 systems for effective speed regulation. Learners will assess stability via Routh-Hurwitz methods, develop P and PI controllers, examine time and frequency responses, and test outcomes 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 practical K and T parameters.
- PI speed control: adjust Kp and Ki for conveyor applications via efficient 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 programmatically.
- Frequency domain design: apply Bode plots and margins for optimal bandwidth and stability.
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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