PID Controller Course
This course delivers hands-on PID control skills for industrial applications. Participants model DC motors, tune Kp, Ki, Kd using established techniques like Ziegler-Nichols, simulate step responses in Python or MATLAB, manage noise, saturation, and windup, then validate robust controllers for conveyor and motion systems, culminating in professional reports for safe deployment.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Gain expertise in PID control through tuning, simulation, and real-world deployment. Understand how proportional, integral, and derivative terms affect rise time, overshoot, and steady-state error. Use Python or MATLAB to model DC motors, perform step-response analysis, optimise Kp, Ki, Kd gains, address noise and saturation issues, test controller robustness, and produce deployment-ready reports for industrial conveyor and motion systems.
Elevify advantages
Develop skills
- Industrial PID tuning: quickly set Kp, Ki, Kd for reliable conveyor speed control.
- Simulation design: model, tune, and test PID loops using MATLAB or Python.
- Anti-windup and saturation handling: ensure stable PID operation within actuator limits.
- Frequency and time-domain methods: use Ziegler-Nichols, Cohen-Coon, and Bode techniques.
- 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 workload.What our students say
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