文章基本信息

标题：State Feedback Design Aircraft Landing System with Using Differential Evolution Algorithm
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作者：Amir ghoreishi ; Arash Ahmadivand
期刊名称：Advances in Computer Science and its Applications
印刷版ISSN：2166-2924
出版年度：2012
卷号：1
期号：1
页码：16-20
语种：English
出版社：World Science Publisher
摘要：The main goal of this article is select the appropriate weight matrices to design the state feedback control LQR of the aircraft landing system. As we know, select the suitable weight matrices for optimal control system is not simple and so far systematic method to determine the appropriate weight matrices are not provided. In other words, there is no direct link between the weights and the optimal profile control system and select weight matrices using the trial and error method and based on designer's experiences are done. In this paper, we use Differential Evolution Algorithm technique (DE) to determine the weight matrices. Benefits of proposed method can be cited profile sustainable convergence and high computational speed. Simulation results show that comparison with Imperialist Algorithm (ICA), method of differential evolution algorithm in determining the appropriate weight matrices and optimal controller design (LQR) is very strong.
关键词：Linear Quadratic Regulator (LQR), Differential Evolution Algorithm, Weight matrices, Imperialist Competitive Algorithm (ICA).