Modeling and identification of asymmetric Bouc–Wen hysteresis for piezoelectric actuator via a novel differential evolution algorithm

•An asymmetric Bou–Wen model is constructed by using a polynomial-based non-lag component.•A modified DE algorithm with global and local search ability is proposed for parameter identification.•Performance of proposed MDE is compared with classical DE and PSO algorithms. A novel modified Bouc–Wen (M...

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Bibliographic Details
Published in:Sensors and actuators. A. Physical. 2015-11, Vol.235, p.105-118
Main Authors: Wang, Geng, Chen, Guoqiang, Bai, Fuzhong
Format: Article
Language:English
Subjects:
Actuators
Algorithms
Asymmetric hysteresis
Asymmetry
Bouc–Wen model
Differential evolution
Evolutionary algorithms
Hysteresis
Mathematical models
Parameter identification
Piezoelectric actuator
Piezoelectric actuators
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Summary:•An asymmetric Bou–Wen model is constructed by using a polynomial-based non-lag component.•A modified DE algorithm with global and local search ability is proposed for parameter identification.•Performance of proposed MDE is compared with classical DE and PSO algorithms. A novel modified Bouc–Wen (MBW) model is presented in this paper to describe the asymmetric hysteresis of piezoelectric actuator, and the parameter identification method is proposed based on a novel modified differential evolution (MDE) algorithm. In the MBW model, a polynomial-based non-lag component is used to realize the asymmetric hysteresis property. In the proposed MDE algorithm, a comprehensive trial vector generation strategy and the initial control parameters are investigated to balance the global and local search ability. The MDE-based parameter identification is compared with the classical differential evolution algorithm and the particle swarm optimization algorithm. The results demonstrate that the proposed MDE is superior to its competitors for identifying the asymmetric hysteresis of piezoelectric actuator.
ISSN:0924-4247
1873-3069
DOI:10.1016/j.sna.2015.09.043