PID Controller Course
This course equips you with comprehensive PID control skills, from theoretical foundations to practical deployment. Learn to model DC motors accurately, tune Kp, Ki, and Kd parameters using established methods like Ziegler-Nichols, conduct simulations in Python or MATLAB, implement anti-windup and saturation handling, and deploy robust controllers for industrial conveyor systems and motion control, ensuring safety and performance in real-world settings.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain hands-on mastery of PID control through tuning, simulation, and real-world deployment. Understand how proportional, integral, and derivative terms control rise time, overshoot, and steady-state error. Use Python or MATLAB to model DC motors, perform step-response tests, optimise Kp, Ki, Kd gains, manage noise and saturation effects, ensure system robustness, and produce professional reports for reliable industrial applications.
Elevify advantages
Develop skills
- Industrial PID tuning: quickly set Kp, Ki, Kd for stable conveyor speed control.
- Simulation design: model, tune, and evaluate PID systems using MATLAB or Python.
- Anti-windup techniques: implement stable PID control with actuator saturation limits.
- Tuning methods: apply Ziegler-Nichols, Cohen-Coon, and frequency-domain analysis.
- Plant modelling: develop DC motor transfer functions from data and specifications.
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 workloadWhat our students say
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