Description
This simulation file implements a PID controller to regulate the speed of a BLDC motor. It uses an Artificial Neural Network (ANN) to predict the required output voltage for a given speed or position. The PID control algorithm is composed of three components: Proportional, Integral, and Derivative, and their gains are determined experimentally. The simulation enables the ANN to control the BLDC motor with PID feedback control, resulting in improved performance and accuracy.
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