Optimal Shape Control of Piezoelectric Intelligent Structure Based on Genetic Algorithm. (11th October 2017)

• Record Type: Journal Article
• Authors: Wang, Zhanxi; Qin, Xiansheng; Zhang, Shunqi; Bai, Jing; Li, Jing; Yu, Genjie
• Other Names: Leonelli Cristina Academic Editor.
• Is Part Of: Advances in materials science and engineering. Volume 2017(2017)
• Publication Date: 2017-10-11
• Subjects: Materials science -- Periodicals; Materials science; Periodicals; 620.11
• DOI: 10.1155/2017/6702183
• Languages: English
• ISSNs: 1687-8434

Abstract

Abstract : Shape variation induced by mismachining tolerance, humidity and temperature of the working environment, material wear and aging, and unknown external load disturbances have a relatively large influence on the dynamic shape of a mechanical structure. When integrating piezoelectric elements into the main mechanical structure, active control of the structural shape is realized by utilizing the inverse piezoelectric effect. This paper presents a mathematical model regarding piezoelectric intelligent structure shape control. We also applied a genetic algorithm, and given a piezoelectric intelligent cantilever plate with both ends affected by a certain load, optimal shape control results of piezoelectric materials were analyzed from different perspectives (precision reference or cost reference). The mathematical model and results indicate that, by optimizing a certain number of piezoelectric actuators, high-precision active shape control can be realized.