Hysteresis modeling of piezoelectric actuators with the frequency-dependent behavior using a hybrid model. (May 2020)

• Record Type: Journal Article
• Authors: Qian, Cheng; Ouyang, Qing; Song, Yulai; Zhao, Wei
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 234:Number 9(2020)
• Page Start: 1848
• Page End: 1858
• Publication Date: 2020-05
• Subjects: Piezoelectric actuators -- hysteresis modeling -- least-squares support vector machine -- Bouc–Wen model -- particle swarm optimization; Mechanical engineering -- Periodicals; 621.05
• DOI: 10.1177/0954406219897089
• Languages: English
• ISSNs: 0954-4062

Abstract

In order to overcome the problem of positioning inaccuracy caused by nonlinear hysteresis of piezoelectric actuators, a hybrid model based on least-squares support vector machine and Bouc–Wen model is proposed to model the rate-dependent hysteresis of piezoelectric actuators. A rate-independent Bouc–Wen model and its parameters identification method is established as the basis of least-squares Bouc–Wen model. Least-squares support vector machine, which is optimized by particle swarm optimization, is introduced to improve the Bouc–Wen model into a rate-dependent model by adjusting parameters of Bouc–Wen dynamically. Experiment is carried out to validate both Bouc–Wen model and the proposed least-squares Bouc–Wen model. The results show that the proposed least-squares Bouc–Wen method is a valid and a more precise method compared to the rate-independent Bouc–Wen model.