计算力学学报2012，Vol.29Issue(6)：861-866,6.
压电智能结构模糊自学习控制（FSLC）
Fuzzy self-learning control of piezoelectric smart structure
摘要
Abstract
According to the output characteristics of control system,a fuzzy controller is used to correct the control law of learning controller in real-time to achieve the dynamic learning process. A fuzzy self- learning control (FSLC) algorithm for piezoelectric smart structure vibration control is presented by the combination of fuzzy logic control and learning control. Piezoelectric actuator/sensor and host structure are modeled by the three-dimension eight-node coupled element (SolidS) and solid element (Solid45) re- spectively. The finite element program for piezoelectric smart structure vibration control analysis has been compiled by ANSYS parameter language. It is proved that the fuzzy self-learning control (FSLC) method can effectively control the vibration of piezoelectric smart structures by numerical simulation, and speed up the convergence of self-learning control. The fuzzy self-learning control has better control results.关键词
压电智能结构/振动控制/模糊控制/学习控制Key words
piezoelectric smart structure/vibration control/fuzzy control/learning control分类
通用工业技术引用本文复制引用
钱锋,王建国,逄焕平,张鸣祥..压电智能结构模糊自学习控制（FSLC）[J].计算力学学报,2012,29(6):861-866,6.基金项目
国家自然科学基金 （）
中央高校基本科研业务费专项资金（2011HGBZl311）资助项目. （）
