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Different intelligent robust control schemes for precise positioning system

Raafat, Safanah M. and Akmeliawati, Rini and Martono, Wahyudi (2010) Different intelligent robust control schemes for precise positioning system. In: 2010 IEEE Control and System Graduate Research Colloquium (ICSGRC)., 22 June 2010, Shah Alam, Selangor, Malaysia.

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This paper presents the design of two different H∞ robust controllers for a single axis positioning system via two different schemes; The 2 H∞ robust controller, which is suitable for accurate tracking performance and an integrator-H∞ robust controller which can also be tuned for accurate tracking. However, each approach has some certain features that need to be investigated for the application under study. Adaptive neural fuzzy inference system is utilized in both schemes to develop a non-conservative accurate uncertainty weighting function. Both methods can achieve wide bandwidth, high resolution, improved tracking performance, and robustness to modelling uncertainties, as will be demonstrated in the experimental results.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 5806/5361
Uncontrolled Keywords: Adaptive neural fuzzy inference system , H∞ , single axis positioning system , uncertainties
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: 14 Nov 2011 14:24
Last Modified: 22 Nov 2011 06:02
URI: http://irep.iium.edu.my/id/eprint/5361

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