PID Controller Course
This course equips you with comprehensive PID control skills, from foundational theory to practical deployment. You will model DC motors, fine-tune Kp, Ki, and Kd using established techniques like Ziegler-Nichols, conduct simulations in Python or MATLAB, and implement reliable PID controllers for industrial systems such as conveyors 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 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, perform step-response analysis, optimise Kp, Ki, Kd parameters, manage noise and saturation effects, ensure system 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 systems using MATLAB or Python.
- Anti-windup and saturation handling: implement stable PID within actuator constraints.
- Frequency and time-domain methods: use Ziegler-Nichols, Cohen-Coon, and Bode techniques.
- Plant modelling: develop DC motor transfer functions from datasheets and test 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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