Comparative study of parametric and intelligent unstructured uncertainties for robust controller design

M. Raafat, Safanah and Martono, Wahyudi and Akmeliawati, Rini (2009) Comparative study of parametric and intelligent unstructured uncertainties for robust controller design. In: 2009 IEEE Symposium on Industrial Electronics and Applications (ISIEA 2009, 4- 6, October, 2009, Kuala Lumpur, Malaysia.

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Abstract

This paper describes the design, analysis and comparison of two ∞ H controllers that use two different uncertainty model representations; unstructured and structured (parametric) uncertainties. The later is usually considered as less conservative. However, the application of intelligent techniques like Adaptive Neural Fuzzy Inference System (ANFIS) in the identification of unstructured uncertainty bounds provides considerable improvements in reduction of conservatism and guaranteed robust stability and performance, as illustrated in the results of practical implementation to a servo motion system .

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	4116/5396
Uncontrolled Keywords:	H controller; unstructured uncertainty; structured (parametric) uncertainty; ANFIS; motion system.
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ212 Control 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:	02 Nov 2011 14:17
Last Modified:	12 May 2012 02:45
URI:	http://irep.iium.edu.my/id/eprint/5396

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