PID Controller Course
This course equips you with comprehensive PID control skills from foundational theory to practical deployment. Learn to model DC motors accurately, tune Kp, Ki, and Kd using established techniques like Ziegler-Nichols and Cohen-Coon, perform simulations in Python or MATLAB, and implement robust PID controllers for industrial conveyor systems and motion control, ensuring safety and stability 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 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 parameters, manage noise and saturation effects, ensure system 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-driven design: model, tune, and evaluate PID performance using MATLAB or Python.
- Anti-windup and saturation handling: implement safe PID operation within actuator constraints.
- Frequency and time-domain methods: utilise Ziegler-Nichols, Cohen-Coon, and Bode plot techniques.
- Plant modelling proficiency: 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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