- 영문명
- Fuzzy Control System for the Flexible Manufacturing Systems
- 발행기관
- 건국대학교 경제경영연구소
- 저자명
- Soon Seung Pyo(表錞昇)
- 간행물 정보
- 『상경연구』제23권 제2호, 143~163쪽, 전체 21쪽
- 주제분류
- 경제경영 > 경제학
- 파일형태
- 발행일자
- 1998.12.31

국문 초록
영문 초록
The problem of control system for a flexible manufacturing system(FMS) is described. FMS consists of machines that can perform a variety of tasks on a family of parts. The machines are unreliable and main difficulty the control system faces is to meet production requirements while the machines fail and are required at random times. In this model, multilevel hierarchical control model is proposed which involves a stochastic optimal control problem. Optimal production policies are characterized. In this paper, and adaptive model predictive controller for FMS nonlinear processes using fuzzy model is proposed. This method consists of two parts. In the part of fuzzy modeling, an interactive algorithm is presented to identify a fuzzy dynamic process. At the first stage in the algorithm, a fuzzy model, the data space is divided into some sub-spaces by the fuzzy variables. At the second stage, a fuzzy model is identified in each sub-space. At the first stage, in the algorithm, fuzzy model is transformed to the fuzzy impulse response model. At the second stage, optimum control is determined in order to coincide the prediction result of the future process state by the fuzzy impulse response model with a desired state.
In the last part of this paper, a simulation of a adaptive fuzzy model predictive control be done and the result of experiment is satisfied entirely.
목차
Ⅰ. 序論
Ⅱ. FMS統制시스템
Ⅲ. FMS 퍼지統制시스템
Ⅳ. 結論
참고문헌
Abstract
키워드
해당간행물 수록 논문
참고문헌
최근 이용한 논문
교보eBook 첫 방문을 환영 합니다!
신규가입 혜택 지급이 완료 되었습니다.
바로 사용 가능한 교보e캐시 1,000원 (유효기간 7일)
지금 바로 교보eBook의 다양한 콘텐츠를 이용해 보세요!
