메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Alex Valdivielso (Osaka University) Toshiyuki Miyamoto (Osaka University) Sadatoshi Kumagai (Osaka University)
저널정보
대한전자공학회 ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications ITC-CSCC : 2008
발행연도
2008.7
수록면
689 - 692 (4page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
Multi-car elevator systems consist of shafts with two or more independent cars operating in them. Due to their special characteristics, such as the need to avoid the interference among cars in the same shaft, conventional control methods cannot be implemented on them. Therefore it is necessary to develop group control methods for multi-car elevator systems able to perform an optimal floor call allocation while considering their special characteristics. In this paper we propose a group control method for multi-car elevator systems consisting of a schedule completion time optimization algorithm, an interference risk prevention strategy using the idea of synchronized schedule direction, and parking strategies to assure the coverage of service zones according to the identified passenger traffic pattern. In order to test its performance the proposed algorithm was compared with a sample zoning algorithm in the presence of different passenger traffic patterns. According to the simulation results the performance of our algorithm excels the performance of the sample zoning algorithm in the inter-floor and down-peak traffic patterns. In the case of the up-peak traffic pattern, for which the sample zoning algorithm presents its best performance, the proposed algorithm shows a better result under the arrival rate of 90 passengers/min.

목차

Abstract
1. Introduction
2. Group Control Algorithm
3. Simulation Results
4. Conclusions
References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2013-569-001140248