PID Controller Course
This course equips learners with comprehensive PID control skills, progressing from theoretical foundations to practical deployment. Participants will model DC motors, apply proven tuning methods like Ziegler-Nichols to optimise Kp, Ki, Kd values, perform simulations using Python or MATLAB, and implement robust controllers for industrial systems such as conveyors and motion control, ensuring safety and performance under real-world constraints.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Gain expertise in practical PID control through tuning, simulation, and deployment techniques. Understand how proportional, integral, and derivative terms influence rise time, overshoot, and steady-state error. Utilise Python or MATLAB to simulate DC motors, conduct step-response analysis, optimise Kp, Ki, Kd parameters, manage noise and saturation effects, ensure controller robustness, and produce professional reports for reliable industrial applications.
Elevify Advantages
Develop Skills
- Industrial PID tuning: rapidly configure Kp, Ki, Kd for stable conveyor speed regulation.
- Simulation-driven design: leverage MATLAB or Python for PID modelling, tuning, and performance evaluation.
- Anti-windup and saturation handling: implement reliable PID operation within actuator constraints.
- Frequency and time-domain methods: utilise Ziegler-Nichols, Cohen-Coon, and Bode techniques effectively.
- Plant modelling proficiency: develop DC motor transfer functions using empirical 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 workload.What our students say
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