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Modeling and control of magnetic levitation system via fuzzy logic controller

Ishaque, K. and Saleem, Y. and Abdullah, Shahrum Shah and Amjad, M. and Rashid, M. and Kazi, S. (2011) Modeling and control of magnetic levitation system via fuzzy logic controller. In: 2011 4th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO). IEEE, New Jersey, 001-006. ISBN 978-145770005-7

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Official URL: http://dx.doi.org/10.1109/ICMSAO.2011.5775532

Abstract

Fuzzy logic controller (FLC) is an attractive alternative to existing classical or modern controllers for designing the challenging Non-linear control systems. It does not require any system modeling or complex mathematical equations governing the relationship between inputs and outputs. Fuzzy rules are very easy to learn and use, even by non-experts. It typically takes only a few rules to describe systems that may require several lines of conventional software code, which reduces the design complexity. By considering these advantages, this paper presents the design and analysis of a FLC controller for the magnetic levitation system. Additionally, a classical PID controller is also designed to compare the performance of both types of controllers. Results reveal that FLC found to give better transient and steady state results compare to the classical PID.

Item Type:Book Section
Uncontrolled Keywords:electromagnets, equations, fuzzy logic, magnetic levitation, mathematical model, steady-state, suspensions
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:29363
Deposited By: Liza Porijo
Deposited On:07 Mar 2013 08:18
Last Modified:04 Feb 2017 07:41

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