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

ZHANG, Hongwei, LENNOX, Barry, GOULDING, Peter R. and LEUNG, Andrew Y. T. (2000). A float-encoded genetic algorithm technique for integrated optimization of piezoelectric actuator and sensor placement and feedback gains. Smart Materials and Structures, 9 (4), 552-557.

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Official URL: http://iopscience.iop.org/article/10.1088/0964-172...
Link to published version:: https://doi.org/10.1088/0964-1726/9/4/319
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    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.

    Item Type: Article
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Centre for Automation and Robotics Research > Mobile Machine and Vision Laboratory
    Identification Number: https://doi.org/10.1088/0964-1726/9/4/319
    Page Range: 552-557
    Depositing User: Margaret Boot
    Date Deposited: 21 Apr 2017 15:54
    Last Modified: 13 Jun 2017 13:57
    URI: http://shura.shu.ac.uk/id/eprint/15022

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