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A fuzzy control technique for a magnetically levitated system

Abstract

This paper presents the results of some analytical and numerical investigations on a control approach for magnetically leviated systems. This approach is based on fuzzy logic. It has been widely demonstrated that traditional control systems consent to maintain a stiff control on the air gap length. However, the traditional approaches could cause at very high speed, a vertical acceleration of the vehicle cabin larger than the maximum value currently allowed by the ISO standard. It is aim of this work to investigate the possibilities that a fuzzy controller offer in order to solve this problem. In order set up the controller, every mechanical degree of freedom is modelled in terms of some linguistic variables. These linguistic variables are described by several fuzzy sets. It must be noted that, doing so, the disturbances can be described in terms of fuzzy sets, too. A single-mass-model of the vehicle is considered in the paper. The features of the controller are numerically simulated under several types of disturbances and they are compared with a traditional control approach. It is shown how some parameters (especially the vertical acceleration) improve their behaviour. (orig.)
Authors:
Lo Verso, G; [1]  Trapanese, M [2] 
  1. C.N.R., Ce.Ri.S.E.P., Palermo (Italy)
  2. Dipt. di Ingegneria Elettrica, Univ. di Palermo (Italy)
Publication Date:
Dec 31, 1995
Product Type:
Conference
Report Number:
CONF-951120-
Reference Number:
SCA: 320202; PA: DE-97:0G0340; EDB-97:014111; SN: 97001718062
Resource Relation:
Conference: International conference on magnetically levitated systems, 14. internationale Tagung ueber Magnetschwebesysteme, Bremen (Germany), 26-29 Nov 1995; Other Information: PBD: 1995; Related Information: Is Part Of MAGLEV `95. 14th international conference on magnetically levitated systems. Proceedings; PB: 509 p.
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; LEVITATED TRAINS; CONTROL SYSTEMS; FUZZY LOGIC; RAPID TRANSIT SYSTEMS; DESIGN
OSTI ID:
412491
Research Organizations:
Verband Deutscher Elektrotechniker e.V. (VDE), Frankfurt am Main (Germany); Energietechnische Gesellschaft im VDE, Frankfurt am Main (Germany)
Country of Origin:
Germany
Language:
English
Other Identifying Numbers:
Other: ISBN 3-8007-2155-4; TRN: DE97G0340
Submitting Site:
DE
Size:
pp. 169-172
Announcement Date:

Citation Formats

Lo Verso, G, and Trapanese, M. A fuzzy control technique for a magnetically levitated system. Germany: N. p., 1995. Web.
Lo Verso, G, & Trapanese, M. A fuzzy control technique for a magnetically levitated system. Germany.
Lo Verso, G, and Trapanese, M. 1995. "A fuzzy control technique for a magnetically levitated system." Germany.
@misc{etde_412491,
title = {A fuzzy control technique for a magnetically levitated system}
author = {Lo Verso, G, and Trapanese, M}
abstractNote = {This paper presents the results of some analytical and numerical investigations on a control approach for magnetically leviated systems. This approach is based on fuzzy logic. It has been widely demonstrated that traditional control systems consent to maintain a stiff control on the air gap length. However, the traditional approaches could cause at very high speed, a vertical acceleration of the vehicle cabin larger than the maximum value currently allowed by the ISO standard. It is aim of this work to investigate the possibilities that a fuzzy controller offer in order to solve this problem. In order set up the controller, every mechanical degree of freedom is modelled in terms of some linguistic variables. These linguistic variables are described by several fuzzy sets. It must be noted that, doing so, the disturbances can be described in terms of fuzzy sets, too. A single-mass-model of the vehicle is considered in the paper. The features of the controller are numerically simulated under several types of disturbances and they are compared with a traditional control approach. It is shown how some parameters (especially the vertical acceleration) improve their behaviour. (orig.)}
place = {Germany}
year = {1995}
month = {Dec}
}