PID Controller Course
This course delivers comprehensive PID control training from foundational theory to practical deployment. Participants model DC motors, tune Kp, Ki, Kd using established techniques like Ziegler-Nichols, conduct simulations in Python or MATLAB, and implement robust PID controllers for industrial conveyor systems and motion control, ensuring 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, perform step-response analysis, optimise Kp, Ki, Kd parameters, manage noise and saturation effects, ensure controller robustness, and produce professional 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 performance with MATLAB or Python.
- Anti-windup techniques: implement stable PID operation despite actuator saturation.
- Advanced tuning methods: use Ziegler-Nichols, Cohen-Coon, and frequency-domain analysis.
- Plant modelling: develop DC motor transfer functions from test data and specifications.
Suggested summary
Before starting, you can change the chapters and 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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