Simulation Based Elevator Group Control System for Multi-Storey Building-Reference-Cited by-同舟云学术

Simulation Based Elevator Group Control System for Multi-Storey Building

Published:2019-02-01 Issue:1 Volume:4 Page:77-84
ISSN:2455-7749
Container-title:International Journal of Mathematical, Engineering and Management Sciences
language:en
Short-container-title:Int J Math, Eng, Manag Sci

Author:

Sharma Bharat Bhushan¹,Banshwar Anuj²,Pathak Mohit²,Sharma Naveen Kumar³,Joshi Aman⁴

Affiliation:

1. Department of Electronics & Instrumentation, School of Automation Banasthali Vidyapith, Rajasthan, India

2. Department of Electrical & Electronics Engineering Noida Institute of Engineering & Technology, Greater Noida, India

3. Department of Electrical Engineering I. K. Gujral Punjab Technical University, Jalandhar, Punjab, India

4. Department of Physics National Institute of Technology Kurukshetra, Kurukshetra, India

Abstract

In this work fuzzy logic based controller for Elevator Group Control System (EGCS) is proposed. The most complex problem is to control the multi-elevator in a multi-storey building and there are different approaches to solve the problem. The approach used based on the Simulink model and the fuzzy logic controller which is proposed to choose the most appropriate elevator for a hall call generated by passenger/user. The simulation was carried out by giving the input which was used to calculate the input for fuzzy logic controller. The data obtained from the simulation model and the input source provided to the fuzzy based controller priority of each elevator car can be calculated. The maximum priority elevator car is responded for its hall call operation. The input was based on hall call assignment method. This work can assist in analyzing the performance of the Elevators.

Publisher

International Journal of Mathematical, Engineering and Management Sciences plus Mangey Ram

Subject

General Engineering,General Business, Management and Accounting,General Mathematics,General Computer Science

Reference14 articles.

1. Chaube, S., & Singh, S. B. (2016a). Fuzzy reliability of two-stage weighted-k-out-of-n systems with common components. International Journal of Mathematical, Engineering and Management Sciences, 1(1), 41–51.

2. Chaube, S., & Singh, S. B. (2016b). Fuzzy reliability theory based on membership function. International Journal of Mathematical, Engineering and Management Sciences, 1(1), 34–40.

3. Deying, G., & Dongmei, Y. (2010, March). Study on fuzzy algorithm of elevator group control system. In Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on (Vol. 1, pp. 366-369). IEEE.

4. Imasaki, N., Kubo, S., Nakai, S., Yoshitsugu, T., Kiji, J. I., & Endo, T. (1995). Elevator group control system tuned by a fuzzy neural network applied method. In Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int (Vol. 4, pp. 1735-1740). IEEE.

5. Ishikawa, T., Miyauchi, A., & Kaneko, M. (2000). Supervisory control for elevator group by using fuzzy expert system which also address travelling time. Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482), 2(1), (pp. 87-94).