PID Controller Course
This course teaches PID control from basics to real-world use. Learners model DC motors, tune Kp, Ki, Kd with standard methods, simulate in Python or MATLAB, and implement robust controllers for industrial conveyors and motion systems, ensuring safety and reliability in deployment.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Gain hands-on PID control skills through tuning, simulation, and deployment. Understand how proportional, integral, and derivative terms affect rise time, overshoot, and steady-state error. Use Python or MATLAB to model DC motors, analyse step responses, optimise Kp, Ki, Kd, manage noise and saturation, test robustness, and produce reports for secure industrial applications.
Elevify advantages
Develop skills
- Industrial PID tuning: quickly set Kp, Ki, Kd for reliable conveyor speed control.
- Simulation design: model, tune, and test PID using MATLAB or Python.
- Anti-windup handling: ensure stable PID with actuator limits and saturation.
- Tuning methods: use Ziegler-Nichols, Cohen-Coon, and Bode in time and frequency domains.
- Plant modelling: build DC motor transfer functions from data and specs.
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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