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基于ESO迭代学习算法的故障估计

DOI: 10.13195/j.kzyjc.2014.0022, PP. 546-550

Keywords: 迭代学习,故障估计,扩张状态观测器,虚拟故障

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Abstract:

针对基于迭代学习的故障估计器方法,提出一种基于扩张状态观测器(ESO)思想的迭代学习算法,以提高虚拟故障的收敛速度.该算法将ESO的输出误差非线性反馈机制用于迭代学习过程,利用故障估计器当前输出残差的非线性函数修正下次迭代时的虚拟故障值.对所建立的故障估计器的收敛性进行理论分析,并在此基础上进行了仿真实验.仿真结果表明,所提出的算法具有良好的收敛速度和故障估计精度.

References

[1]  Hwang I, Kim S, Kim Y, et al. A survey of fault detection, isolation, and reconfiguration methods[J]. IEEE Trans on Control Systems Technology, 2010, 18(3): 636-653.
[2]  Jiang J. Fault-tolerant control systems: An introductory overview[J]. Acta Automatica Sinica, 2005, 31(1): 161-174.
[3]  Zhang Y M, Jiang J. Bibliographical review on reconfigurable fault-tolerant control systems[J]. Annual Reviews in Control, 2008, 32(2): 229-252.
[4]  Zhang X D, Marios M P, Thomas Parisini. Fault diagnosis of a class of nonlinear uncertain systems with Lipschitz nonlinearities using adaptive estimation[J]. Automatica, 2010, 46(2): 290-299.
[5]  Zhang X D. Sensor bias fault detection and isolation in a class of nonlinear uncertain systems using adaptive estimation[J]. IEEE Trans on Automatic Control, 2011, 56(5): 1220-1226.
[6]  Jiang B, Staroswiecki M, Cocquempot V. Fault accommodation for nonlinear dynamic systems[J]. IEEE Trans on Automatic Control, 2006, 51(9): 1578-1583.
[7]  何静, 邱静, 张昌凡. 基于微分同胚变换的故障重构算法[J]. 控制理论与应用, 2010, 27(4): 481-487.
[8]  (He J, Qiu J, Zhang C F. Fault reconstruction based on global diffeomorphic coordination transformation[J]. Control Theory & Application, 2010, 27(4): 481-487.)
[9]  Tan C P, Edwards C. Robust fault reconstruction in uncertain linear systems using multiple sliding mode observers in cascade[J]. IEEE Trans on Automatic Control, 2010, 55(4): 855-880.
[10]  贾庆贤, 张迎春, 沈毅, 等. 基于迭代学习-未知输入观测器的卫星姿控系统鲁棒故障重构[J]. 系统工程与电子技术, 2012, 34(1): 120-124.
[11]  (Jia Q X, Zhang Y C, Shen Y, et al. Robust fault reconstruction method for satellite attitude control system based on iterative learning-unknown input observer[J]. System Engineering and Electronics, 2012, 34(1): 120-124.)
[12]  Wu Q, Mehrdad S. Robust fault diagnosis of a satellite system using a learning strategy and second order sliding mode observer[J]. IEEE Systems J, 2010, 4(1): 112-121.
[13]  颜秉勇, 田作华, 施颂椒, 等. 基于故障跟踪估计器的非线性时滞系统故障诊断[J]. 控制与决策, 2009, 24(1): 133-136.
[14]  (Yan B Y, Tian Z H, Shi S J, et al. Fault diagnosis for nonlinear time-delay systems based on fault tracking approximator[J]. Control and Decision, 2009, 24(1): 133-136.)
[15]  颜秉勇, 王华忠. 基于故障跟踪估计器的故障诊断新方法[J]. 系统工程与电子技术, 2013, 35(2): 377-380.
[16]  (Yan B Y,Wang H Z. Novel fault diagnosis approach based on fault tracking approximator[J]. Systems Engineering and Electronics, 2013, 35(2): 377-380.)
[17]  曹伟, 丛望, 李金, 等. 基于迭代学习的离散线性时变系统故障诊断[J]. 控制与决策, 2013, 28(1): 137-140.
[18]  (Han J Q. Active disturbance rejection control technique—The technique for estimating and compensating the uncertainties[M]. Beijing: National Defense Industry Press, 2008: 183-242.)
[19]  孙明轩, 黄宝健. 迭代学习控制[M]. 北京: 国防工业出版社, 1999: 271-272.
[20]  (Sun M X, Huang B J. Iterative learning control[M]. Beijing: National Defense Industry Press, 1999: 271-272.)
[21]  (Cao W, Cong W, Li J, et al. Fault diagnosis of discrete linear time-varying system based on iterative learning[J]. Control and Decision, 2013, 28(1): 137-140.)
[22]  高林, 刘喜梅, 顾幸生. 一种新的基于迭代学习的故障检测和估计算法[J]. 控制与决策, 2010, 25(8): 1173-1177.
[23]  (Gao L, Liu X M, Gu X S. New fault detection and estimation algorithm based on iterative learning[J]. Control and Decision, 2010, 25(8): 1173-1177.)
[24]  曹伟, 丛望, 孙明. 基于比例差分型迭代学习的故障诊断算法[J]. 系统工程与电子技术, 2012, 34(10): 2106-2109.
[25]  (Cao W, Cong W, Sun M. Fault diagnosis algorithm based on proportional difference type iteration learning[J]. Systems Engineering and Electronics, 2012, 34(10): 2106-2109.)
[26]  韩京清. 自抗扰控制技术—–估计补偿不确定因素的控制技术[M]. 北京: 国防工业出版社, 2008: 183-242.

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