Speed Control of BLDD Motor Using Neural Network based Adaptive Controller

신경 회로망을 이용한 BLDD 모터의 속도 적응 제어기

This Paper presents a novel and systematic approach to a self-learning controller. The proposed controller is built on a neural network consisting of a standard back propagation (BNN) and approxinate reasoning (AR). The fuzzy inference and knowledge representation are carried out by the neural network structure and computing, instead of logic inference. An architecture similar to that used by traditional model reference adaptive control system (MRAC) is employed.