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Sensors 2016, 16(2), 205; doi:10.3390/s16020205

Modeling of Rate-Dependent Hysteresis Using a GPO-Based Adaptive Filter

School of Automation Sciences and Electrical Engineering, Beihang University, XueYuan Road NO.37, Haidian District, Beijing 100191, China
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Authors to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 26 November 2015 / Accepted: 27 January 2016 / Published: 6 February 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [3168 KB, uploaded 6 February 2016]   |  

Abstract

A novel generalized play operator-based (GPO-based) nonlinear adaptive filter is proposed to model rate-dependent hysteresis nonlinearity for smart actuators. In the proposed filter, the input signal vector consists of the output of a tapped delay line. GPOs with various thresholds are used to construct a nonlinear network and connected with the input signals. The output signal of the filter is composed of a linear combination of signals from the output of GPOs. The least-mean-square (LMS) algorithm is used to adjust the weights of the nonlinear filter. The modeling results of four adaptive filter methods are compared: GPO-based adaptive filter, Volterra filter, backlash filter and linear adaptive filter. Moreover, a phenomenological operator-based model, the rate-dependent generalized Prandtl-Ishlinskii (RDGPI) model, is compared to the proposed adaptive filter. The various rate-dependent modeling methods are applied to model the rate-dependent hysteresis of a giant magnetostrictive actuator (GMA). It is shown from the modeling results that the GPO-based adaptive filter can describe the rate-dependent hysteresis nonlinear of the GMA more accurately and effectively. View Full-Text
Keywords: hysteresis; rate-dependent; adaptive filter; LMS; modeling hysteresis; rate-dependent; adaptive filter; LMS; modeling
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Zhang, Z.; Ma, Y. Modeling of Rate-Dependent Hysteresis Using a GPO-Based Adaptive Filter. Sensors 2016, 16, 205.

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