DocumentCode :
1968825
Title :
Robust identification of a single axis high precision positioning system
Author :
Raafat, Safanah M. ; Martono, Wahyudi ; Akmeliawati, Rini ; Legowo, Ari
Author_Institution :
Dept. of Mechatron. Eng., Int. Islamic Univ. Malaysia (HUM), Kuala Lumpur
fYear :
2009
fDate :
6-8 March 2009
Firstpage :
75
Lastpage :
80
Abstract :
Robust control has been studied in recent years as an efficient methodology for the design of highly performing controllers of positioning systems. However, it is necessary to provide accurate nominal model and associated uncertainty bounds to design this type of controllers. The aim of this paper is to robustly identify a single axis high precision positioning system with uncertainties. For a given data set a nominal model is identified then model error modeling techniques are used to handle uncertainties in modeling. To examine the quality of the identified nominal and modeling error models Hinfin is designed based on the identified uncertainties. Computer simulation and experimenting with the high precision positioning system verify that the obtained nominal model and modeling error model are reliable and the implemented approach can be used to develop an integrated identification and robust controller.
Keywords :
Hinfin control; control system synthesis; position control; robust control; uncertain systems; Hinfin modeling error models; associated uncertainty bounds; integrated identification; nominal model; robust control; single axis high precision positioning system; Computer errors; Control systems; Mechatronics; Predictive models; Robust control; Robust stability; Robustness; Signal processing; Stochastic processes; Uncertainty; H control; identification for robust control; model error modeling; robust stability and performance analysis; servo system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing & Its Applications, 2009. CSPA 2009. 5th International Colloquium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-4151-8
Electronic_ISBN :
978-1-4244-4152-5
Type :
conf
DOI :
10.1109/CSPA.2009.5069192
Filename :
5069192
Link To Document :
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