A new approach to hysteresis modelling for a piezoelectric actuator using Preisach model and recursive method with an application to open-loop position tracking control

被引:61
|
作者
Phuong-Bac Nguyen [1 ,2 ]
Choi, Seung-Bok [3 ]
Song, Byung-Keun [1 ]
机构
[1] Incheon Natl Univ, Dept Mech Engn & Robot, Vibrat & Control Syst Lab, Incheon 406772, South Korea
[2] Ind Univ Ho Chi Minh City, Dept Mech Engn, Ho Chi Minh City, Vietnam
[3] Inha Univ, Dept Mech Engn, Smart Struct & Syst Lab, Incheon 402751, South Korea
关键词
Hysteresis model; Piezoelectric actuator; Recursive method; Preisach model; Open-loop control; PRANDTL-ISHLINSKII MODEL; BOUC-WEN MODEL; ASYMMETRIC HYSTERESIS; COMPENSATION; INVERSE; IDENTIFICATION; FEEDFORWARD; BEHAVIORS; SYSTEM; CREEP;
D O I
10.1016/j.sna.2017.12.034
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a novel recursive approach to model and control of a piezoelectric actuator featured by inherent hysteresis behaviors. It is known that the classical Preisach model consisting of triangle elements is ideal for discontinuous relays, but the output values jump at frontiers of the consecutive relays. In order to overcome this disadvantage, in this work a new solution approach is proposed in which the fundamental elements are suggested so that their weights concentrate just along their own diagonal. With such elements, there is neither jump at frontiers of consecutive elements nor any interpolation needed to obtain an output. In addition, a recursive method, which requires very few computational load, is proposed to determine the output of the model. Based on the proposed approach to hysteresis modelling, an open-loop control algorithm for compensating a rate-independent hysteresis is formulated without utilizing an inverse model. It is verified through experimental implementation that the effectiveness of the hysteresis identification is high and position (displacement) tracking control results achieved from the proposed approach without compensator inversion are excellent. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:136 / 152
页数:17
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