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, perform simulations in Python or MATLAB, and implement reliable PID controllers for industrial conveyor systems and motion control, ensuring stability, 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, conduct step-response tests, optimise Kp, Ki, Kd parameters, manage noise and saturation effects, ensure controller robustness, and produce professional reports for secure industrial applications.
Elevify advantages
Develop skills
- Industrial PID tuning: rapidly configure Kp, Ki, Kd for stable conveyor speed regulation.
- Simulation-driven design: leverage MATLAB or Python for PID modelling, tuning, and performance analysis.
- Anti-windup and saturation handling: implement robust PID that maintains stability with actuator constraints.
- Frequency and time-domain methods: utilise Ziegler-Nichols, Cohen-Coon, and Bode plot techniques.
- Plant modelling proficiency: develop DC motor transfer functions using datasheets and empirical data.
Suggested summary
Before starting, you can change the chapters and the 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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