Intelligent Control Of Magnetic Bearing System

Mohd Hafizoul, Omar (2008) Intelligent Control Of Magnetic Bearing System. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

A magnetic bearing is a system which supports moving machinery without physical contact. Magnetic bearing advantages include lower and predictable friction, besides able to operate without lubrication. Magnetic bearings are increasingly being used as an alternative to rolling element in rotating industrial machinery such as compressors, turbines, pumps, motors and generators. It can be divided into two categories which are passive and active magnetic bearing. An active magnetic bearing consists of an electromagnet assembly; a set of power amplifiers which supply current to the electromagnets, a controller and gap sensors with associated electronics to provide the feedback required controlling the position of the rotor within the gap. The problem exist is that it can only exert an attractive force that cause the system inherently unstable and requiring the use of controller. Under extreme condition, the response of the rotor in magnetic bearing system becomes highly non-linear. This project is to design an intelligent controller for magnetic bearing system focused on MBC500 as a magnetic bearing research experiment. Fuzzy logic controller based on Sugeno approach as an intelligent controller is applied to control MBC500. The performance of the controller was analyzed using Matlab. At the end of this project, fuzzy logic controller using Sugeno approach which is able in stabilizing the position of the rotor of the magnetic bearing system will be designed.

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