PID Controller Course
This course delivers comprehensive PID control training from foundational theory to real-world deployment. Participants model DC motors, apply proven tuning methods like Ziegler-Nichols to optimize Kp, Ki, Kd gains, perform simulations using Python or MATLAB, and implement reliable controllers for industrial conveyor systems and motion control, emphasizing safety and robustness against disturbances.

4 to 360h 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 components influence rise time, overshoot, and steady-state error. Utilize Python or MATLAB to simulate DC motors, conduct step-response analysis, optimize 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: leverage MATLAB or Python for PID modeling, tuning, and performance evaluation.
- Anti-windup and saturation handling: implement stable PID operation within actuator constraints.
- Frequency and time-domain methods: utilize Ziegler-Nichols, Cohen-Coon, and Bode plot techniques.
- Plant identification: 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 are saying
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