IIUM Repository

Intelligent disturbance rejection for robust tracking performance of X-Y positioning system

Raafat, Safanah M. and Akmeliawati, Rini (2010) Intelligent disturbance rejection for robust tracking performance of X-Y positioning system. In: 2010 IEEE International Conference on Mechatronics and Automation (ICMA), 4 - 7 August 2010, Xi'an, China.

[img] PDF (Intelligent disturbance rejection for robust tracking performance of X-Y positioning system) - Published Version
Restricted to Repository staff only

Download (535kB) | Request a copy

Abstract

In this paper, design and implementation of an intelligent disturbance weighting function for H�-based precision positioning control system is presented for an AC motor drive X-Y table positioning mechanism. The system works with a robust feedback controlled, enhanced by an outer loop integral control. The objective is to achieve high tracking and contouring performances even in the presence of uncertainties and disturbances. The effect of crosstalk between the two axes is considered as disturbance that is treated by intelligent estimated disturbance weighting functions using adaptive neuro fuzzy inference system (ANFIS). The developed controller is implemented experimentally, and a tracking performance of less than 1�m is achieved. Contouring error of less than 1���m is achieved as well. Index Terms- intelligent H�-based precision positioning control system, tracking performances, X-Y table positioning mechanism, AC motor drive, disturbance weighting function.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 5806/5395 ISSN: 2152-7431 ISBN: 978-1-4244-5140-1 (P) Digital Object Identifier: 10.1109/ICMA.2010.5589083
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Prof. Dr. Rini Akmeliawati
Date Deposited: 13 Nov 2011 00:24
Last Modified: 25 Jan 2012 08:16
URI: http://irep.iium.edu.my/id/eprint/5395

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year