Title: Adaptive control for a class of non-linear systems using fuzzy logic based on motion controller

Authors: Kai Xue, Ping Wang, Wende Zhao

Addresses: Department of Mechanical and Electrical Engineering, Harbin Engineering University, Heilongjiang Province, China. ' Department of Mechanical and Electrical Engineering, Harbin Engineering University, Heilongjiang Province, China. ' Department of Mechanical and Electrical Engineering, Harbin Engineering University, Heilongjiang Province, China.

Abstract: This paper presents a robust method for a class of non-linear proportional-integral-differential control systems to effectively utilise motion controllers. The model of a mixed type motion controller based on an industrial PC was proposed. The adaptive proportional integral derivative controllers using fuzzy logic can auto-tune the gains of them based on the speed error and its derivative, and it can offer a robust precision for a non-linear system. A simulation was carried out for controlling an uncertainly disturbed control system, and a case study was conducted based on the presented method to illustrate the effectiveness of the proposed controller.

Keywords: adaptive control; nonlinear systems; programmable controllers; multiaxis controllers; fuzzy logic; fuzzy control; motion control; adaptive PID controllers; simulation; uncertainly disturbed control.

DOI: 10.1504/IJMTM.2009.023936

International Journal of Manufacturing Technology and Management, 2009 Vol.17 No.3, pp.315 - 326

Published online: 21 Mar 2009 *

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