Adaptive Speed Control for Brushless DC Motors Based On Genetic Algorithm and RBF Neural Network

Adaptive PID-Type Iterative Learning Control for DC Motor Position

“…Finally, it is intelligent methods that overcome uncertainty problems well compared with others. Primarily, it can maintain high performance at a wide range of operations, for example, fuzzy control algorithm [6][7][8]; RBF neural network and Genetic algorithm [9]; and iterative learning control [10,11]. This paper is the first step in developing an autonomous steering system for a small self-develop electric car using a DC motor.…”