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Actuator Location and Voltages Optimization for Shape Control of Smart Beams Using Genetic Algorithms

1
Department of Accounting and Finance, Technological Educational Institution of Epirus, TEI Campus−Psathaki, GR-48100 Preveza, Greece
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Department of Materials Science and Engineering, University of Ioannina, GR−45110 Ioannina, Greece
3
Department of Production Engineering and Management, Technical University of Crete, Institute of Computational Mechanics and Optimization University Campus, GR−73100 Chania, Greece
*
Author to whom correspondence should be addressed.
Actuators 2013, 2(4), 111-128; https://doi.org/10.3390/act2040111
Received: 28 August 2013 / Revised: 23 September 2013 / Accepted: 12 October 2013 / Published: 22 October 2013
This paper presents a numerical study on optimal voltages and optimal placement of piezoelectric actuators for shape control of beam structures. A finite element model, based on Timoshenko beam theory, is developed to characterize the behavior of the structure and the actuators. This model accounted for the electromechanical coupling in the entire beam structure, due to the fact that the piezoelectric layers are treated as constituent parts of the entire structural system. A hybrid scheme is presented based on great deluge and genetic algorithm. The hybrid algorithm is implemented to calculate the optimal locations and optimal values of voltages, applied to the piezoelectric actuators glued in the structure, which minimize the error between the achieved and the desired shape. Results from numerical simulations demonstrate the capabilities and efficiency of the developed optimization algorithm in both clamped−free and clamped−clamped beam problems are presented. View Full-Text
Keywords: design optimization; placement optimization; genetic algorithm; great deluge algorithm design optimization; placement optimization; genetic algorithm; great deluge algorithm
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Foutsitzi, G.A.; Gogos, C.G.; Hadjigeorgiou, E.P.; Stavroulakis, G.E. Actuator Location and Voltages Optimization for Shape Control of Smart Beams Using Genetic Algorithms. Actuators 2013, 2, 111-128.

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