BLDC 모터를 위한 퍼지 뉴럴 네트워크 제어기 설계

• 영문명: Design o f Fuzzv-Neural N etw oik Controller for B L D C Motor
• 발행기관: 호서대학교 공업기술연구소
• 저자명: 한병조(Byung Jo Han) 구경완(Kyung Wan Koo)
• 간행물 정보: 『공업기술연구 논문집』제29권 제1호, 27~32쪽, 전체 6쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 2010.06.30

영문 초록

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.

목차

i. 서 론

2. 본 론

3. 모의실험 및 분석

4. 결 론

키워드

BLDC 브러 쉬리 스모터 Fuzzy 퍼지 Adaptive Control 적응 제어