Control Theory Made Simple
The story
I spent 15 years working with control systems, software, algorithms, and embedded systems.
My experience covers autonomous vehicles, automotive, and cleantech. Two countries. Multicultural companies.
Along the way, I built an education and consultancy business dedicated to making control engineering clearer and more accessible.
Courses
Free examples
PID Control
Model Predictive Control
Kalman Filter
…and more control algorithms!
Have a look at the latest articles!
- 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.
