Control systems are everywhere, powering the technology we rely on daily. From adjusting your home thermostat to the movements of robotic arms in manufacturing, control systems are there. If you’re an engineer, programmer, or simply curious about how these systems work, here you’ll find examples of control systems that span different strategies and techniques to help you in your career journey.
Education is missing simplicity. It’s easy to find books or papers showing examples of control systems designed for a 6th-order plant or any other complex system because that’s academically interesting. But that’s also useless for those who need to learn a new control technique.
This is my opinion on the current landscape on education for professionals:
If you are looking for simple examples to get familiar to a new strategy, and then decide whether to go deeper in the learning process, this is the right place for you.
My vision is to make The Control Lab the place to go to start learning a new topic. Are you looking for examples of control systems or a related technique that could be relevant to your case? You will find it here.
Have a look at the articles below, you will spot something interesting. The topics covered span various areas:
- PID Controller
- Kalman Filter
- Modelling
- Model Predictive Control
Would you like to see a new topic covered in my blog? Leave a comment on one of the blog posts and I will do my best to address it.
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Still not enough? Find me on LinkedIn (Simone Bertoni) for more examples and interesting topics.
Have a look at the latest articles – Examples of Control Systems for Everyone
- State Feedback With Integral Control: DC Motor Anti-Windup
DC motor position control in three steps. Pole placement leaves a 9 rad offset under load, an integral state removes it, and back-calculation stops the windup. - Linear Model Predictive Control: Position Control
Linear MPC for position control of a damped mass: state-space model, MPC tuning, MATLAB code, and a clean step response. Where MPC beats PID, and where it doesn’t. - Kalman Filter: Python Implementation
Example of Kalman Filter implementation in Python. Let’s estimate the angular velocity of a DC Motor using only a noisy position reading. - PID Controller in C: How to Implement
Understand how to implement a PID controller in C. Architecture, implementation, and simulation of a PID controller in C. - Wheeled Robot: Exploring the Kinematics
Let’s explore the kinematics of a mobile robot example, showing the differential equations of motion and the simulation in Xcos. - Model Predictive Control Python Implementation
Learn how to implement a Model Predictive Control algorithm in Python from scratch, to properly understand what’s under the hood. - PID Controller in Python – How to implement it
This example will show you how to implement a PID Controller in Python to control the speed of a car (based on a Porsche Taycan Turbo). - PID Tuning: The Power of Python
Learn PID tuning via optimisation of its parameters in Python, using scipy.optimize.minimize. 3 different scenarios simulated. - The Pendulum Model: Differential Equations into Simulations
How can we turn a differential equation into a simulation? This approach uses a pendulum model as example and is key for Xcos or Simulink. - What is a PID Controller?
PID Controller means Proportional-Integral-Derivative, a type of feedback control loop. It’s like the brain of many modern control systems.
