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Nestorovic, Tamara,Trajkov, Miroslav,Garmabi, Seyedmehdi Techno-Press 2015 Smart Structures and Systems, An International Jou Vol.15 No.4
In this paper a method of finding 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 $H_{\infty}$ 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.
Tamara Nestorović,Miroslav Trajkov,Seyedmehdi Garmabi 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.15 No.4
In this paper a method of finding optimal positions for piezoelectric actuators and sensors ondifferent structures is presented. The genetic algorithm and multi-objective genetic algorithm are selected foroptimization and H∞ norm is defined as a cost function for the optimization process. To optimize theplacement concerning the selected modes simultaneously, the multi-objective genetic algorithm is used. Theoptimization 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 optimalLQ control strategy. Finally, output of a structure with optimized placement is compared with the output ofthe structure with an arbitrary, non-optimal placement of piezoelectric patches.