Abstract
This paper presents a novel float-encoded genetic algorithm andapplies it to the optimal control of flexible smart structures bonded withpiezoelectric actuators and sensors. A performance function is initiallydeveloped, based on the maximization of dissipation energy due to a controlaction. Then, according to this characteristic, a float-encoded geneticalgorithm is presented which is capable of solving this optimizationproblem reliably and efficiently. The optimization algorithm that isdeveloped for the control of flexible systems allows an integrateddetermination of actuator and sensor locations and feedback gains. Thepaper demonstrates the suitability of the proposed technique through itsapplication to three standard benchmark test functions and a collocatedcantilever beam.
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