Elevator control using fuzzy rule base

Elisha Otis installed the first elevator in 1857. Then, safety was the main concern of the elevator manufacturers. In today fast pace, hectic and frenzied world, an excellent and efficient elevator service would mean promptness, comfort and speed. Most current elevator group control systems focus on...

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Bibliographic Details
Main Author:	Ng, Tsong Jye.
Other Authors:	Chin, Teck Chai
Format:	Theses and Dissertations
Published:	2010
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Online Access:	http://hdl.handle.net/10356/39021
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-39021
record_format	dspace
spelling	sg-ntu-dr.10356-390212023-07-04T15:27:44Z Elevator control using fuzzy rule base Ng, Tsong Jye. Chin, Teck Chai School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Elisha Otis installed the first elevator in 1857. Then, safety was the main concern of the elevator manufacturers. In today fast pace, hectic and frenzied world, an excellent and efficient elevator service would mean promptness, comfort and speed. Most current elevator group control systems focus on reducing the waiting time of the passengers. This research embarks in a different direction. In making the car assignment decision, the proposed elevator control system in this research considers not only the passengers combination of waiting time but also the riding time and the number of passengers inside the elevator. Thus, the car selected should have a reasonable waiting time, riding time and crowding ratio. Master of Science (Computer Control and Automation) 2010-05-21T03:45:30Z 2010-05-21T03:45:30Z 1997 1997 Thesis http://hdl.handle.net/10356/39021 NANYANG TECHNOLOGICAL UNIVERSITY 182 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Ng, Tsong Jye. Elevator control using fuzzy rule base
description	Elisha Otis installed the first elevator in 1857. Then, safety was the main concern of the elevator manufacturers. In today fast pace, hectic and frenzied world, an excellent and efficient elevator service would mean promptness, comfort and speed. Most current elevator group control systems focus on reducing the waiting time of the passengers. This research embarks in a different direction. In making the car assignment decision, the proposed elevator control system in this research considers not only the passengers combination of waiting time but also the riding time and the number of passengers inside the elevator. Thus, the car selected should have a reasonable waiting time, riding time and crowding ratio.
author2	Chin, Teck Chai
author_facet	Chin, Teck Chai Ng, Tsong Jye.
format	Theses and Dissertations
author	Ng, Tsong Jye.
author_sort	Ng, Tsong Jye.
title	Elevator control using fuzzy rule base
title_short	Elevator control using fuzzy rule base
title_full	Elevator control using fuzzy rule base
title_fullStr	Elevator control using fuzzy rule base
title_full_unstemmed	Elevator control using fuzzy rule base
title_sort	elevator control using fuzzy rule base
publishDate	2010
url	http://hdl.handle.net/10356/39021
_version_	1772828418357854208

Elevator control using fuzzy rule base

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