基于故障跟踪估计器的故障诊断新方法  

Novel fault diagnosis approach based on fault tracking approximator

作　　者：颜秉勇[1] 王华忠[1] 

机构地区：[1]华东理工大学化工过程先进控制和优化技术教育部重点实验室,上海200237

出　　处：《系统工程与电子技术》2013年第2期377-380,共4页Systems Engineering and Electronics

基　　金：国家自然科学基金(60974061);华东理工大学基本科研业务费专项基金(WH1114027);华东理工大学优秀青年教师基金(yh1057147);上海市高校青年教师培养计划资助课题

摘　　要：针对线性时不变系统提出了一种基于故障跟踪估计器的故障诊断新方法。首先引入一个可调参数,称作虚拟故障,构建线性时不变系统的故障跟踪估计器。然后,设计迭代学习算法,在选取的优化周期内通过反复迭代学习运算来动态调节虚拟故障,使之估计出系统中实际发生的故障。该方法可以同时检测和估计出系统中发生的故障,而且和发生的故障类型无关。最后,在垂直升降飞行器的线性化模型上进行了仿真研究,仿真结果表明了所设计算法的可行性和有效性。A new fault diagnosis approach based on fault tracking approximator for linear systems is pro-posed. Firstly, an adjustable parameter, named virtual fault, is introduced to construct the fault tracking ap proximator. Then, an iterative learning algorithm is desgined and the virtual fault within the time span is adjus-ted by using the iterative algorithm in order to estimate the system faults. The proposed algorithm can not only detect the system faults and estimate the fault function simultaneously, but also diagnose different kinds offaults. Finally, an example for the vertical takeoff and landing aircraft is presented to illustrate the feasibility and effectiveness of the proposed approach.

关 键 词：线性系统 故障跟踪估计器 虚拟故障 迭代学习 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]