@inproceedings{5587ab115d5c482486b1e645d3f21694,
title = "Bouc-wen model parameter identification for piezoelectric actuator using chaos particle swarm optimization",
abstract = "This paper mainly proposes a chaos particle swarm optimization (CPSO) to estimate the parameters of piezoelectric actuator (PEA), in which Bouc-Wen model is employed to describe the hysteresis phenomenon. By introducing chaotic disturbance to the simple PSO, this method can obtain optimal solution with high calculation efficiency. Finally some experiments are conducted to demonstrate its feasibility and effectiveness.",
keywords = "Bouc-wen model, Chaos particle swarm optimization, Parameter identification, Piezoelectric actuator",
author = "Cai, {Chun Xia} and Liu, {Xiang Dong} and Dong-Ning and Li, {Hong Juan}",
year = "2013",
doi = "10.4028/www.scientific.net/KEM.562-565.516",
language = "English",
isbn = "9783037857397",
series = "Key Engineering Materials",
publisher = "Trans Tech Publications Ltd.",
pages = "516--521",
booktitle = "Micro-Nano Technology XIV",
address = "Switzerland",
note = "14th Annual Conference and the 3rd International Conference of the Chinese Society of Micro-Nano Technology, CSMNT 2012 ; Conference date: 04-11-2012 Through 07-11-2012",
}