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Stabilizing of Subspaces Based on DPGA and Chaos Genetic Algorithm for Optimizing State Feedback Controller

机译：基于DPGA和混沌遗传算法的子空间镇定优化状态反馈控制器

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摘要

The main purpose of the paper is to optimize state feedback parameters using intelligent method, GA, Hermite-Biehler, and chaos algorithm. GA is implemented for local search but it has some deficiencies such as trapping into a local minimum and slow convergence, so the combination of Hermite-Biehler and chaos algorithm has been added to GA to avoid its deficiencies. Dividing search space is usually done by distributed population genetic algorithm (DPGA). Moreover, using generalized Hermite-Biehler Theorem can find the domain of parameters. In order to speed up the convergence at the first step, Hermite-Biehler method finds some intervals for controller, in the next step the GA will be added, and, finally, chaos disturbance will help the algorithm to reach a global minimum. Therefore, the proposed method can optimize the parameters of the state feedback controller.
机译：本文的主要目的是使用智能方法，GA，Hermite-Biehler和混沌算法来优化状态反馈参数。遗传算法是为局部搜索而实现的，但它有一些缺陷，例如陷入局部最小值和收敛缓慢，因此已将Hermite-Biehler和混沌算法的组合添加到遗传算法中以避免其缺陷。划分搜索空间通常是通过分布式种群遗传算法（DPGA）完成的。此外，使用广义Hermite-Biehler定理可以找到参数的域。为了加快第一步的收敛速度，Hermite-Biehler方法为控制器找到了一些间隔，在下一步中将添加GA，最后，混沌干扰将帮助算法达到全局最小值。因此，所提出的方法可以优化状态反馈控制器的参数。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第10期|186481.1-186481.9|共9页
  • 作者

    M. Hosseinpour; P. Nikdel; M. A. Badamchizadeh; M. A. Poor;

  • 作者单位

    Control Engineering Department, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166614776, Iran;

    Control Engineering Department, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166614776, Iran;

    Control Engineering Department, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 5166614776, Iran;

    Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada T6G 2V4;

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