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SVD-based Preisach hysteresis identification and composite control of piezo actuators
Lei Liu1, Kok Kiong Tan, Si-Lu Chen
1NUS Graduate School for Integrative Sciences and Engineering, Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering, 117576, Singapore. g0801812@nus.edu.sg
Abstract:
In this paper, the singular value decomposition (SVD) based identification and compensation of the hysteretic phenomenon in piezo actuators are addressed using a Preisach model. First, this paper presents an SVD-based least squares algorithm and a revision approach of the identification through updating the SVD. With the identified parameters and a log of the memory curve, a Preisach-based inversion compensator is constructed which is complemented with a feedback controller to address the inevitable and residual modeling errors. Experimental results are furnished for both the identification and compensation approaches. The Preisach-based feedforward controller significantly improves the tracking performance and reduces the root-mean-square (RMS) tracking error of a PID controller by 76.7% and 89% at 1 Hz and 25 Hz, respectively. With the proposed composite controller, the percent-RMS errors at 1 Hz and 25 Hz are reduced to 0.035% and 0.31%, respectively.
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