PID Controller Course
This course equips you with comprehensive PID control skills from foundational theory to practical deployment. You will model DC motors, tune Kp, Ki, Kd using established techniques like Ziegler-Nichols, perform simulations in Python or MATLAB, and implement reliable PID controllers for industrial systems such as conveyors and motion control, ensuring stability under real constraints like saturation and noise.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
Gain hands-on expertise in 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, optimise Kp, Ki, Kd values, manage noise and saturation effects, ensure controller robustness, and produce professional reports for dependable industrial applications.
Elevify advantages
Develop skills
- Industrial PID tuning: quickly set Kp, Ki, Kd for stable conveyor speed regulation.
- Simulation-driven design: model, tune, and evaluate PID performance with MATLAB or Python.
- Anti-windup and saturation handling: implement safe PID operation within actuator constraints.
- Frequency and time-domain methods: use Ziegler-Nichols, Cohen-Coon, and Bode plot techniques.
- Plant modelling: develop DC motor transfer functions from datasheets and experimental data.
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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