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Asymmetric Prandtl-Ishlinskii Hysteresis Model for Giant Magnetostrictive Actuator
Author(s) -
ZhuoYun Nie,
Chanjun Fu,
Ruijuan Liu,
Dongsheng Guo,
Yijing Ma
Publication year - 2016
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2016.p0223
Subject(s) - hysteresis , prandtl number , actuator , function (biology) , computer science , operator (biology) , polynomial , asymmetry , control theory (sociology) , mathematics , physics , mathematical analysis , artificial intelligence , condensed matter physics , mechanics , control (management) , quantum mechanics , heat transfer , biochemistry , chemistry , repressor , evolutionary biology , transcription factor , gene , biology
An asymmetric Prandtl–Ishlinskii (API) hysteresis model for a giant magnetostrictive actuator (GMA) is proposed in this paper. The classical Prandtl–Ishlinskii (PI) model is analyzed and divided into two parts: linear function and operator summation. To enhance model asymmetry, a polynomial function is used in the API model as the center curve of the hysteresis instead of the linear function. The remaining curve of the hysteresis is modeled by a new operator that provides some basic asymmetric hysteresis. In this manner, the proposed API model requires relatively less operators and fewer parameters to describe the asymmetric hysteresis behavior of the GMA. All parameters of the API model are identified by a standard least square method. Simulation results show that the API model is very successful in formulating an asymmetric hysteresis of the GMA. In addition, it provides better identification results compared with the classical PI model.

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