BLDC 모터를 위한 퍼지 뉴럴 네트워크 제어기 설계

Design o f Fuzzv-Neural N etw oik Controller for B L D C Motor

Fuzzy-neural network controller for speed control of BLDC motors is proposed in this paper. Using fuzzy-neural networks are used to estimate the speed reference signal. BLDC motor and conventional permanent magnet DC servo motor show similar characteristics. However, there is no commutator and brush structure. The structure of the neural network system that accepts input from the outside of the input layer, the system sends output to the outside of the output layer, hidden layer between input layer and output layer consists of three parts. Each layer is a more artificial cell (artificial neuron) is composed. Constant flux for the speed control is based on estimated current value. The performance of the proposed neural network control algorithm is verified in the simulation.