PID Controller Course
This course delivers comprehensive PID control training from foundational theory to practical deployment. Participants model DC motors, apply proven tuning techniques like Ziegler-Nichols for Kp, Ki, Kd values, perform simulations using Python or MATLAB, and implement reliable PID controllers for industrial conveyor systems and motion control, ensuring stability, safety, and performance under real constraints.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in practical PID control through this targeted course covering tuning, simulation, and real-world deployment. Understand how proportional, integral, and derivative terms influence rise time, overshoot, and steady-state error. Use Python or MATLAB to simulate DC motors, conduct step-response tests, 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: quickly set Kp, Ki, Kd for stable conveyor speed regulation.
- Simulation design: model, tune, and evaluate PID performance with MATLAB or Python.
- Anti-windup techniques: implement stable PID operation despite actuator saturation.
- Tuning methods: use Ziegler-Nichols, Cohen-Coon, and Bode plots effectively.
- Plant modeling: develop DC motor transfer functions from test data and specs.
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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