This project focuses on designing and analyzing a neural network–based PID controller to optimize the speed control of a Brushless DC (BLDC) motor. We develop both a conventional PID controller and an ...

This repository develops a nonlinear Uncertainty and Disturbance Estimator (UDE) controller, and compares it to a standard linear PID controller using flight simulations with stochastic wind. It also ...

1 Faculty of Electrical Technology and Engineering (FTKE), Universiti Teknikal Melaka Malaysia, Melaka, Malaysia. 2 Institut Matematik Kejuruteraan (IMK), Universiti Malaysia Perlis (UniMAP), Perlis, ...

Abstract: The lack of demonstration tools for supporting laboratory course in the computer based control system laboratory Politeknik Negeri Semarang made students more difficult in understanding the ...

Abstract: The proportional integral derivative (PID) controller design methods are either model based approaches or rule based approaches. It is clear that when using a model based approach, a first ...