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基于灰关联层次分析法的无人机自修复控制策略评价
引用本文:陈海,王新民,赵凯瑞,李俨.基于灰关联层次分析法的无人机自修复控制策略评价[J].航空学报,2010,31(5):1030-1037.
作者姓名:陈海  王新民  赵凯瑞  李俨
作者单位:西北工业大学自动化学院,陕西西安,710072
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  

Evaluation of Self-repairing Control Policies for UAV Based on Grey Relational Analytic Hierarchy
Chen Hai,Wang Xinmin,Zhao Kairui,Li Yan.Evaluation of Self-repairing Control Policies for UAV Based on Grey Relational Analytic Hierarchy[J].Acta Aeronautica et Astronautica Sinica,2010,31(5):1030-1037.
Authors:Chen Hai  Wang Xinmin  Zhao Kairui  Li Yan
Institution:School of Automation, Northwestern Polytechnical University
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.
Keywords: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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