基于广义未知输入观测器的鲁棒故障估计方法  

Robust fault estimation approach based on generalized unknown input observer

作　　者：邓露[1] 文传博[1] 张素君[2] Deng Lu;Wen Chuanbo;Zhang Sujun(College of Electrical Engineering,Shanghai Dianji University,Shanghai 201306,China;College of Mechanical&Electrical Enginee-ring,Henan Institute of Science&Technology,Xinxiang Henan 453003,China)

机构地区：[1]上海电机学院电气学院,上海201306 [2]河南科技学院机电工程学院,河南新乡453003

出　　处：《计算机应用研究》2018年第5期1441-1445,1463,共6页Application Research of Computers

基　　金：国家自然科学基金资助项目(61374136;61473159);上海市自然科学基金资助项目(12ZR1411800);上海市人才发展资金资助项目(201511)

摘　　要：当干扰存在时,有效地估计故障且放松故障的限制条件需要进一步研究,为此针对含未知干扰的非线性连续系统的鲁棒故障估计问题,提出一种广义未知输入观测器方法。将执行器故障向量和传感器故障向量与原系统状态向量组成广义系统,放松对故障类型的限制,对此广义系统设计未知输入观测器解耦干扰,保证鲁棒性的同时估计出状态变量、执行器故障及其一阶微分和传感器故障;然后通过解线性矩阵不等式(LMI)给出估计误差渐近收敛的条件。在MATLAB的Simulink平台上用三叶片水平轴风力模型仿真验证观测器的故障估计的有效性和鲁棒性。Estimating faults effectively and relaxing the constraints of faults when disturbance exists need further study,this paper proposed a generalized unknown input observer method aiming at nonlinear systems with unknown disturbance.First,actuator fault vector and sensor fault vector together with states of original system formed a new generalized system,relaxing the constraints of faults.Designing unknown input observer to decoupling disturbance,the observer could estimate states and actuator fault and its first order differential vector and sensor fault.Second,it gave the conditions of asymmetric convergence of the estimation error by solving the linear matrix inequality(LMI).Finally,a three-blade horizontal-axis turbine model demonstrates the effectiveness and robustness of proposed approach by MATLAB simulations.

关 键 词：未知输入观测器 广义观测器 鲁棒故障估计 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]