航空学报 > 2010, Vol. 31 Issue (5): 1030-1037

基于灰关联层次分析法的无人机自修复控制策略评价

陈海, 王新民, 赵凯瑞, 李俨   

  1. 西北工业大学 自动化学院
  • 收稿日期:2009-05-14 修回日期:2009-09-14 出版日期:2010-05-25 发布日期:2010-05-25
  • 通讯作者: 李俨

Evaluation of Self-repairing Control Policies for UAV Based on Grey Relational Analytic Hierarchy

Chen Hai, Wang Xinmin, Zhao Kairui, Li Yan   

  1. School of Automation, Northwestern Polytechnical University
  • Received:2009-05-14 Revised:2009-09-14 Online:2010-05-25 Published:2010-05-25
  • Contact: Li Yan

摘要:

结合层次分析法(AHP)和灰关联度分析(GRA)法的优点,提出了一种灰关联层次分析(GRAH)综合评价方法,用于对无人机自修复控制策略进行评价。划分了无人机自修复控制策略的自修复等级,并与综合评价值统一起来,解决了不同自修复策略的修复效果评价标准问题;建立了自修复策略的评价指标体系,并给出了各指标的定义和计算公式;为了降低算法的复杂性,把一致性检验问题转化为一般的统计假设检验问题;构造了多专家判断矩阵和灰关联度矩阵,并给出了完整的GRAH评价模型。仿真结果表明,本文提出的GRAH综合评价法具有满意的准确性和可靠性。

关键词: 无人机, 自修复控制策略评价, 灰关联层次分析法, 自修复等级, 评价指标体系, 一致性检验

Abstract: Integrating the advantages of the analytic hierarchy process (AHP) and grey relational analysis (GRA), this article proposes a novel method of grey relational analytic hierarchy (GRAH) to evaluate the selfrepairing control policies of unmanned aerial vehicles (UAV). It divides selfrepairing into four levels and associates them with evaluating values to solve the problem of evaluation standards for different selfrepairing policies. The evaluating indicators including definitions and calculation equations are presented. To reduce computational complexity effectively, this article transforms the consistency checking problem into a general statistical hypothesis testing problem. Then the whole evaluation model of GRAH is given based on the judgment matrices of multiexperts and the grey relational matrix. Finally, simulation results show the veracity and reliability of the method.

Key words: unmanned aerial vehicles, evaluation of self-repairing control policy, method of grey relational analytic hierarchy, self-repairing level, evaluating indicator system, consistency check

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