Optimal placement of piezoelectric actuators and sensors on a smart beam and a smart plate using multi-objective genetic algorithm

作     者：Nestorovic, Tamara Trajkov, Miroslav Garmabi, Seyedmehdi 

作者机构：Ruhr Univ Bochum Mech Adapt Syst D-44801 Bochum Germany 

出 版 物：《SMART STRUCTURES AND SYSTEMS》 (Smart Struct. Syst.)

年 卷 期：2015年第15卷第4期

页      面：1041-1062页

核心收录：

学科分类：08[工学] 0804[工学-仪器科学与技术] 0802[工学-机械工程] 0813[工学-建筑学] 0814[工学-土木工程] 

主　　题：optimal location smart structures H-infinity norm genetic algorithm multi-objective genetic algorithm 

摘      要：In this paper a method of fmding optimal positions for piezoelectric actuators and sensors on different structures is presented. The genetic algorithm and multi-objective genetic algorithm are selected for optimization and H-infinity norm is defined as a cost function for the optimization process. To optimize the placement concerning the selected modes simultaneously, the multi-objective genetic algorithm is used. The optimization is investigated for two different structures: a cantilever beam and a simply supported plate. Vibrating structures are controlled in a closed loop with feedback gains, which are obtained using optimal LQ control strategy. Finally, output of a structure with optimized placement is compared with the output of the structure with an arbitrary, non-optimal placement of piezoelectric patches.