Parametric Identification of Bouc-Wen Hysteresis Model for Piezoelectric Ceramic Actuator Based on Immune Particle Swarm Optimization Algorithm

Abstract:

This paper is concerned with the parametric identification based on immune particle swarm optimization (IPSO) algorithm for Bouc-Wen model of piezoelectric ceramic actuators (PCA). IPSO algorithm is an algorithm that introduces the immunological memory and selection mechanism of concentration of antibody of immune system to PSO algorithm. It is used to identify unknown parameters of Bouc-Wen model, one of the most widely used parametric models of hysteresis in mechanics. The experimental results reveal that IPSO algorithm has better precision and convergence.

• Periodical: Key Engineering Materials (Volumes 562-565)
• Pages: 509-515
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.562-565.509
• Online since: July 2013
• Authors: Ning Dong, Hong Juan Li, Xiang Dong Liu, Chun Xia Cai
• Keywords: Bouc-Wen, Identification, Immune Particle Swarm Optimization, Piezoelectric Ceramic Actuator

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