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 methods like Ziegler-Nichols, conduct simulations in Python or MATLAB, and implement robust controllers for industrial conveyor systems and motion control, ensuring safety and performance under real-world constraints.

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 techniques. Understand how proportional, integral, and derivative terms influence 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 effects, ensure system robustness, and produce professional reports for reliable industrial applications.
Elevify advantages
Develop skills
- Industrial PID tuning: rapidly configure 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 stable PID operation within actuator constraints.
- Frequency and time-domain methods: utilise Ziegler-Nichols, Cohen-Coon, and Bode techniques.
- Plant modelling proficiency: develop DC motor transfer functions from empirical 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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