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.
State Feedback With Integral Control: DC Motor Anti-Windup Read Post »
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.
Linear Model Predictive Control: Position Control Read Post »
Example of Kalman Filter implementation in Python. Let’s estimate the angular velocity of a DC Motor using only a noisy position reading.
Kalman Filter: Python Implementation Read Post »
Understand how to implement a PID controller in C. Architecture, implementation, and simulation of a PID controller in C.
PID Controller in C: How to Implement Read Post »
Let’s explore the kinematics of a mobile robot example, showing the differential equations of motion and the simulation in Xcos.
Wheeled Robot: Exploring the Kinematics Read Post »
Learn how to implement a Model Predictive Control algorithm in Python from scratch, to properly understand what’s under the hood.
Model Predictive Control Python Implementation Read Post »
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 Controller in Python – How to implement it Read Post »
Learn PID tuning via optimisation of its parameters in Python, using scipy.optimize.minimize. 3 different scenarios simulated.
PID Tuning: The Power of Python Read Post »
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.
The Pendulum Model: Differential Equations into Simulations Read Post »
PID Controller means Proportional-Integral-Derivative, a type of feedback control loop. It’s like the brain of many modern control systems.
What is a PID Controller? Read Post »
