飞机操纵面故障的多参数预测模型  

Multi-Parameter Prediction Model of Flighter Control Surface Fault

作　　者：徐艳玲[1] 张新国[2] 朱容芳[2] 王琳[1] 

机构地区：[1]西北工业大学自动化学院,西安710072 [2]中国一航西安飞行自动控制研究所,西安710065

出　　处：《计算机仿真》2008年第11期101-105,共5页Computer Simulation

基　　金：航空科学基金(2007ZD53040)

摘　　要：飞机突发性操纵面故障的准确预测对保障飞机安全可靠工作具有重要意义。对目前的飞机操纵面故障预测的主要方法均存在只考虑一个特征参数或单独考虑几个特征参数的不足,缺乏对各特征参数的统一考虑。基于操纵面故障往往表现为一种故障表征出多种特征信号,同一特征信号还可能反映了不同的故障的事实。借鉴灰色预测建模和信息融合的思想,提出了基于多故障特征参数的预测模型,使得多个相关特征参数时间序列不仅可以为各自的预测提供相关信息,也可为其他序列预测提供必要的信息,增加了预测的准确性;将模型应用于某飞机操纵面的故障预测中,经实例计算验证了模型的有效性。Predicting the flighter control surface effectiveness loss and lock - in - place during air combat accurately has great significance to ensuring aircraft safety. At present, in the main righter outburst configuration fauh prediction methods, only one characteristic parameter is considered or several characteristic parameters are considered in isolation, there is a lack of consideration of the characteristic parameters together. Because righter control surface fault often characterize as a variety of feature signal, and the same characteristic signal may also reflects the different faults, the multi - parameter prediction model is proposed based on the idea of grey forecast model and information fusion. Using this model, the relevant parameters of time - series can be not only to provide for their own forecast infor- mation but also to provide the necessary information for the others, so the accuracy of the forecast is increased. Finally, a good forecast effect is given through an flighter control surface fault prediction example, the obtained results show that the model is availability.

关 键 词：多参数 灰色预测 预测模型 故障 操纵面 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] V557.1[自动化与计算机技术—计算机科学与技术]