Design considerations for piecewise affine system identification of nonlinear systems

Author

Canty, Niel ; Mahony, Tom O.

Author_Institution

Dept. of Electron. Eng., Cork Inst. of Technol., Cork, Ireland

fYear

2009

fDate

24-26 June 2009

Firstpage

157

Lastpage

162

Abstract

A PieceWise AutoRegressive eXogenous (PWARX) model for the AMIRA DR300 DC motor is identified using clustering techniques available in the Hybrid Identification Toolbox (HIT). The choice of design parameters like magnitude of the noise variance and size of the local dataset are discussed. These parameters influence the quality and performance of the PWARX model. The performance of the PWARX model is compared with that of a linear model. The results show superior performance of the PWARX model especially in the nonlinear regions.

Keywords

DC motors; identification; machine control; nonlinear systems; AMIRA DR300 DC motor; Hybrid Identification Toolbox; PWARX model; PieceWise AutoRegressive eXogenous model; clustering technique; linear model; noise variance; nonlinear system; piecewise affine system identification; Automatic control; Clustering methods; DC motors; Design automation; Design engineering; Linear systems; Mathematical model; Nonlinear control systems; Nonlinear systems; System identification; Hybrid Systems; Non-linear systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation, 2009. MED '09. 17th Mediterranean Conference on

Conference_Location

Thessaloniki

Print_ISBN

978-1-4244-4684-1

Electronic_ISBN

978-1-4244-4685-8

Type

conf

DOI

10.1109/MED.2009.5164532

Filename

5164532