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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Editor
Cihan H. Dagli
Cihan H. Dagli
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ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008

In this paper, we present a model for magnetic levitation system (MLS). Then, a prototype of MLS is developed in laboratory and the laboratory prototype is used to determine the parameters of the developed MLS model. A Sliding Mode Fuzzy Control (SMFC) is developed based on the methodology of Fuzzy control and variable structure control with sliding mode. The proposed controller preserves the most fundamental properties of conventional Sliding Mode Control (SMC) that are robustness, invariance to parameters variations, and model uncertainties. However, unlike the conventional sliding mode control, SMFC eliminates chattering problem through the concept input-output mapping factor and behave like a linear controller in the neighborhood of its sliding manifold. To illustrate the performance of SMFC, we applied it to the Magnetic Levitation problem. Simulation studies were conducted on levitating a ball at certain positions from various initial conditions in presence of external disturbances and parameters variation.

Abstract
I. Introduction
II. Model of MLS & Prototype
III. Prelimanries and Problem Statement
IV. Problem Statement & Simulation
V. Summary
References
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