基于灰关联层次分析法的无人机自修复控制策略评价  

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

作　　者：陈海[1] 王新民[1] 赵凯瑞[1] 李俨[1] 

机构地区：[1]西北工业大学自动化学院,陕西西安710072

出　　处：《航空学报》2010年第5期1030-1037,共8页Acta Aeronautica et Astronautica Sinica

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。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.

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 

分 类 号：V279[航空宇航科学与技术—飞行器设计]