NDLI: A new adaptive control of a Double-electromagnet suspension system

Content Provider	IEEE Xplore Digital Library
Author	Barzamini, R. Talebi, H.A. Yazdizadeh, A.R. Eliasi, H.
Copyright Year	2010
Description	Author affiliation: Power and Water University of Technology, Tehran, Iran (Yazdizadeh, A.R.) \|\| Amirkabir University of Technology, Tehran, Iran (Talebi, H.A.) \|\| Iran Power Development Company (IPDC) and Amirkabir University of Technology, Iran (Barzamini, R.; Eliasi, H.)
Abstract	In this paper an adaptive controller is presented that addresses the coupling effects between two groups of electromagnetic trains. The main application of DEM (Double Electro-Magnet) is rapid rail transportation. Since the number of passengers is stochastic, the mass of the train will be variable too. On the other hand, due to the variation of the DEM parameters (such as coil inductance) in a real environment, the system is to be controlled in a proper manner. The proposed method in this paper overcomes all of these problems. The module, based on some reasonable assumptions of nonlinear mathematical model, is modeled as a double-electromagnet system. The proposed algorithm has a satisfying performance in tracking in presence of unknown changes in the mass. The advantage of the proposed algorithm in comparison to non-linear controllers is that knowing the mass changes is not necessary. It is also important to make sure that a control system is robust against measurement noises, because all sensors collect noise from the environment. Due to the presence of input and output perturbation, the new proposed algorithm shows satisfying performance. The results show that the proposed method is less sensitive to perturbation in the input.
Starting Page	1
Ending Page	8
File Size	3589581
Page Count	8
File Format	PDF
ISBN	9781424462858
e-ISBN	9781424462872
DOI	10.1109/ISCCSP.2010.5463475
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-03
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Coils Nonlinear Stochastic processes Control systems Suspension Adaptive control Electromagnetic coupling Programmable control component Working environment noise Model Reference Adaptive Control Double-electromagnet Electric variables control Rail transportation Feedback Linearization Mathematical model
Content Type	Text
Resource Type	Article

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