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

Kai Xue, Ping Wang and Wende Zhao

International Journal of Manufacturing Technology and Management, 2009, vol. 17, issue 3, 315-326

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. (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=23936 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmtma:v:17:y:2009:i:3:p:315-326

Access Statistics for this article

More articles in International Journal of Manufacturing Technology and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().