基于框图导向遗传规划的离散无差拍控制器设计

Rami A. Maher, M. J. Mohamed
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引用次数: 0

摘要

本文提出了一种可用于控制系统设计的遗传规划表示和算法。提出的遗传规划算法命名为面向框图的遗传规划BDOGP。文中详细说明了该算法的树形结构特点和所使用的遗传操作。该算法增加了一个数值常数突变操作,以加强对BDOGP解的最优参数的搜索。将该方法作为一种自动合成离散控制系统无差拍控制器框图的方法。给出了执行该解决方案的重要BDOGP步骤和备注。仿真结果表明,通过与常规状态空间解的比较,验证了BDOGP解的有效性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of a Discrete Deadbeat Controller Based on Block Diagram Oriented Genetic Programming
This paper proposes a Genetic Programming representation and algorithm that can be used for control system design. The proposed Genetic Programming algorithm named Block Diagram Oriented Genetic Programming BDOGP. The characteristics of the tree structure and the used genetic operations of the proposed algorithm are illustrated here in detail. A new numeric constant mutation operation is added to the algorithm to strengthen the search for optimal parameters of the BDOGP solutions. The proposed BDOGP is used as an automated method to synthesize the block diagram of a deadbeat controller for discrete control system. The important BDOGP steps and remarks, which perform the solution, are presented. The simulation results show that the comparison between the GP solution and the conventional state-space one indicates the validity and accuracy of the solution obtained by BDOGP.
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