A float-encoded genetic algorithm technique for integrated optimization of piezoelectric actuator and sensor placement and feedback gains

Abstract

This paper presents a novel float-encoded genetic algorithm and applies it to the optimal control of flexible smart structures bonded with piezoelectric actuators and sensors. A performance function is initially developed, based on the maximization of dissipation energy due to a control action. Then, according to this characteristic, a float-encoded genetic algorithm is presented which is capable of solving this optimization problem reliably and efficiently. The optimization algorithm that is developed for the control of flexible systems allows an integrated determination of actuator and sensor locations and feedback gains. The paper demonstrates the suitability of the proposed technique through its application to three standard benchmark test functions and a collocated cantilever beam.

Evolutionary optimization of a fed-batch penicillin fermentation process

“…The procedure for the float-encoded genetic algorithm [11], used in this paper, is described as follows:…”

Optimal placement of piezoelectric actuators on plate structures for active vibration control using genetic algorithm

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“…Another study considered the influence of the location, dimension, and voltage of piezoelectric actuators on shape control, and performed multi-objective optimization of cantilever shape control, minimizing beam deflection under the external load effect [11]. Conversely, Zhang et al [12] studied the integrated optimization configuration problem of piezoelectric actuators and sensors in a flexible structure system by applying the genetic algorithm, while Da Mota Silva et al [13] used the variance between the preset and real displacement of a specific node to study the static shape control of self-adaptable structure, established an infinite model of the structure system, and determined the optimal driving voltage of piezoelectric elements by applying the genetic algorithm. Experiments verified the applicability and effectiveness of this algorithm.…”