基于模糊专家系统的电梯群监控

Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066) Pub Date : 1997-11-09 DOI:10.1109/IECON.1997.671079

M. Kaneko, T. Ishikawa, Y. Sogawa

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引用次数: 18

摘要

在传统的电梯群控系统中有两种算法:最小长等待算法和基于区域的控制算法。这些算法旨在通过减少等待时间来减少服务时间(等待时间+乘车时间)。本文提出了一种新型的电梯群控系统，该系统兼顾了电梯的乘车时间和等待时间。将该算法记为“全模糊控制系统”。通过计算机仿真对全模糊控制系统的有效性进行了深入的研究，结果表明该系统在较宽的交通条件下具有较好的控制性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Supervisory control for elevator group by using fuzzy expert system

There are two algorithms in the conventional elevator group control system: the minimum long-wait algorithm and the area-based control algorithm. These algorithms are designed to reduce service time (waiting time+riding time) by decreasing waiting time. This article proposes a new elevator group control system which addresses riding time as well as waiting time. This algorithm is denoted, "total fuzzy control system". Effectiveness of the total fuzzy control systems is thoroughly studied by computer simulation and the results show a better performance in wider traffic condition.

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Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066)

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