Technical Notes and Correspondence
International Journal of Control, Automation and Systems 2011; 9(3): 588-594
Published online June 4, 2011
https://doi.org/10.1007/s12555-011-0320-2
© The International Journal of Control, Automation, and Systems
On-line Identification Algorithm and Convergence Analysis for Sandwich Systems with Backlash
In this paper, an on-line algorithm for identification of sandwich systems with backlash is proposed. In this method, the sandwich systems with backlash can be transformed into a special model where all the model parameters are separated based on the so-called key term separation principle. In this case, a piecewise model with linear coefficients combining with nonlinear variables is obtained. Thus, an ex-tended recursive identification algorithm is used to estimate the parameters of the proposed model. Fi-nally, the modeling results on an X-Y positioning stage are presented.
Keywords Backlash, identification, nonlinear systems, recursive estimation, sandwich system.
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Technical Notes and Correspondence
International Journal of Control, Automation and Systems 2011; 9(3): 588-594
Published online June 1, 2011 https://doi.org/10.1007/s12555-011-0320-2
Copyright © The International Journal of Control, Automation, and Systems.
On-line Identification Algorithm and Convergence Analysis for Sandwich Systems with Backlash
Ruili Dong and Yonghong Tan*
Shanghai Normal University, China
Abstract
In this paper, an on-line algorithm for identification of sandwich systems with backlash is proposed. In this method, the sandwich systems with backlash can be transformed into a special model where all the model parameters are separated based on the so-called key term separation principle. In this case, a piecewise model with linear coefficients combining with nonlinear variables is obtained. Thus, an ex-tended recursive identification algorithm is used to estimate the parameters of the proposed model. Fi-nally, the modeling results on an X-Y positioning stage are presented.
Keywords: Backlash, identification, nonlinear systems, recursive estimation, sandwich system.
Vol. 23, No. 3, pp. 683~972
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