PID Controller Course
This course delivers comprehensive PID control training from fundamentals to real-world use. Learners model DC motors, tune Kp, Ki, Kd using established techniques like Ziegler-Nichols, simulate in Python or MATLAB, and implement robust controllers for industrial conveyor and motion systems, ensuring safety and performance under constraints like saturation and noise.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in practical PID control through tuning, simulation, and 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 parameters, manage noise and saturation, ensure robustness, and produce reports for reliable industrial applications.
Elevify advantages
Develop skills
- Industrial PID tuning: quickly set Kp, Ki, Kd for stable conveyor speed regulation.
- Simulation design: model, tune, and evaluate PID using MATLAB or Python.
- Anti-windup techniques: implement stable PID 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 workload.What our students say
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