The paper proposes an effective modeling method for piezoelectric actuator with hysteresis, in which Bouc-Wen model is employed to describe the piezoelectric hysteretic phenomenon. In order to determine the model parameters, the particle swarm optimization (PSO) algorithm is utilized. Finally, the comparisons of numerical simulations and experimental results for the piezoelectric actuator in different frequency are drawn. It is found that the Bouc-Wen model based on intelligent optimization can model excellently the hysteretic phenomenon to achieve high-quality fitting curve between experimental and model data. The model generation performance and hysteresis curve fitting ability at 20-80 Hz prove the effectiveness of this method. © 2010 Springer-Verlag.
CITATION STYLE
Wang, Z. Y., & Mao, J. Q. (2010). On PSO based Bouc-Wen modeling for piezoelectric actuator. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6424 LNAI, pp. 125–134). https://doi.org/10.1007/978-3-642-16584-9_12
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