PID Controller Course
This course provides comprehensive training in PID control, progressing from theoretical foundations to practical deployment. Participants will model DC motors, tune Kp, Ki, Kd using established techniques like Ziegler-Nichols, perform simulations in Python or MATLAB, and implement reliable PID controllers for industrial conveyor systems and motion control, ensuring stability under real-world constraints such as actuator saturation and noise.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Gain expertise in practical PID control through this targeted course on tuning, simulation, and deployment. 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 secure industrial applications.
Elevify advantages
Develop skills
- Industrial PID tuning: rapidly configure Kp, Ki, Kd for stable conveyor speed regulation.
- Simulation-driven design: employ MATLAB or Python for PID modelling, tuning, and performance evaluation.
- Anti-windup and saturation handling: implement robust PID controllers within actuator constraints.
- Frequency and time-domain methods: utilise Ziegler-Nichols, Cohen-Coon, and Bode plot techniques.
- Plant identification: develop DC motor transfer functions from experimental 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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