基于观测器的传感器故障检测与信号重构方法

夏洁; 许京京

基于观测器的传感器故障检测与信号重构方法

夏洁,
许京京

北京航空航天大学飞行器控制一体化技术重点实验室, 北京 100191

详细信息

中图分类号: TP277
计量
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- 被引次数: 0
出版历程
- 收稿日期: 2012-12-04
- 网络出版日期: 2013-11-30

Observer-based sensor fault detection and signal reconstruction method

Science and Technology on Aircraft Control Laboratory, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 针对含未知有界干扰输入的线性系统进行传感器故障检测研究.通过对输出信号进行非奇异线性变换，将传感器故障等效转化为执行机构故障，提出对干扰具有鲁棒性、对故障具有敏感性的残差生成方法，设计滑模观测器进行残差估计，实现对传感器故障的检测，得到对传感器故障信号的精确估计，并实现对传感器信号的重构.基于飞机纵向小扰动模型，对于传感器的缓变偏差、突变偏差、完全失效和反相等故障的信号重构仿真结果都表明了该方法的有效性.
- 传感器故障 /
- 滑模观测器 /
- 故障检测 /
- 信号重构
Abstract: The sensor-fault detection for linear system with bounded unknown input disturbance was studied. By non-singular linear transformation, the sensor-faults were converted equivalently into actuator failures. The residual generation was proposed which is robust to disturbance and sensitive to sensor faults. A sliding mode observer was further designed to give the estimation of residuals. The sensor faults can be detected and the sensor signals can be reconstructed by using the estimation of residuals. For typical sensor failure modes (slow bias fault and step bias fault, complete invalidation and reverse fault), the simulation results on the aircraft longitudinal model show the effectiveness of the proposed methods.
- sensor fault /
- sliding mode observer /
- fault detection /
- signal reconstruction

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参考文献(20)

[1]	Caliskan F, Hajiyev C M.Innovation sequence application to aircraft sensor fault detection:comparison of checking covariance matrix algorithms[J].ISA Transactions, 2000, 39 (1):47-56
[2]	Sanjay J.A new fast converging Kalman filter for sensor fault detection and isolation[J].Sensor Review, 2010, 30 (3):219-224
[3]	Hajiyev C, Caliskan F.Sensor and control surface/actuator failure detection and isolation applied to F-16 flight dynamic[J].Aircraft Engineering and Aerospace Technology, 2005, 77 (2):152-160
[4]	Jayakumar M, Das Bijan B.Fault detection, isolation and reconfiguration in presence of incipient sensor faults in an electromechanical flight control actuation system[C]//Proceedings of the IEEE International Conference on Industrial Technology.Piscataway, NJ:IEEE, 2006:92-97
[5]	Chen Yongqi, Zhong Zhiguang.A novel fault observer design and application in flight control system[C]//5th International Conference on Natural Computation.Piscataway, NJ:IEEE Computer Society, 2009, 6:192-196
[6]	Zhang Xiaodong.Sensor bias fault detection and isolation in a class of nonlinear uncertain systems using adaptive estimation[J].IEEE Transactions on Automatic Control, 2011, 56 (5):1220-1226
[7]	Burkholder J O, Tao Gang.Adaptive detection of sensor uncertainties and failures[J].Journal of Guidance, Control, and Dynamics, 2011, 34 (6):1605-1612
[8]	Francesco A, Carlo C, Massimiliano M, et al.A direct/functional redundancy scheme for fault detection and isolation on an aircraft[J].Aerospace Science and Technology, 2006:338-345
[9]	Jiang Xiaosong.A utility scheme for online fault detection[J].International Forum on Information Technology and Applications, 2009:264-267
[10]	Zhang Ke, Hu Shousong, Jiang Bin.Sliding mode integral observers for sensor faults detection and isolation in nonlinear systems[C]//2007 IEEE International Conference on Control and Automation.Piscataway, NJ:IEEE, 2007:147-151
[11]	Tan Chee Pin, Edwards C.Sensor fault tolerant control using sliding mode observers[J].Control Engineering Practice, 2006, 14:897-908
[12]	Chen Wen, Chowdhury F N.Design of sliding mode observers with sensitivity to incipient faults[C]//Proceedings of the IEEE International Conference on Control Applications.Piscataway, NJ:IEEE, 2007:795-800
[13]	Yan Xinggang, Edwards C.Robust sliding mode observer-based actuator fault detection and isolation for a class of nonlinear systems[C]//Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference.Piscataway, NJ:IEEE Computer Society, 2005:987-992
[14]	Edwards C, Spuergeon S K.Sliding mode observers for fault detection and isolation[J].Automatic, 2000, 36:541-553
[15]	Edwards C, Spurgenon S K.Sliding mode control:theory and applications[M].London:Taylor & Francis, 1998:131-139
[16]	Edwards C, Tan Chee Pin, Spurgenon S K.On the development and application of sliding mode observers[J].Lecture Notes in Control and Information Sciences, 2002, 274:253-282
[17]	Oosterom M, Babuska R.Virtual sensor for fault detection and isolation in flight control systems-fuzzy modeling approach[C]//Proceedings of the IEEE Conference on Decision and Control.Piscataway, NJ:IEEE, 2000, 3:2645-2650
[18]	Gu Jihai, Tian Ye, Jin Xiangyang.Research of sensor fault diagnosis method based on immune network and fuzzy ART neural network[C]//2009 Second International Conference on Intelligent Computation Technology and Automation.Piscataway, NJ:IEEE Computer Society, 2009, 2:572-575
[19]	Samy I, Postlethwaite I, Gu Dawei.Survey and application of sensor fault detection and isolation schemes[J].Control Engineering Practice, 2011, 19:658-674
[20]	Napolitano M R, An Younghwan, Seanor B A.A fault tolerant flight control system for sensor and actuator failures using neural networks[J].Aircraft Design, 2000, 3 (2):103-128