期刊文献+

汽车主动悬架传感器故障检测与隔离研究 被引量:7

Study on Fault Detection and Isolation of Vehicle Active Suspension Sensor's Fault
原文传递
导出
摘要 针对汽车主动悬架(Active Suspension System,ASS)传感器卡死、增益变化、恒偏差常见故障,提出一种故障检测与隔离方法(Fault Detection and Isolation,FDI)。建立主动悬架4自由度半车模型和传感器故障时故障悬架模型,在利用故障检测滤波器获得主动悬架输出残差的基础上,设计故障检测指标,计算故障检测指标实时值并于阈值比较,实现传感器故障定量化检测。利用Kalman滤波器组获得主动悬架状态估计信息,选取合适二级决策变量构造故障隔离决策函数,根据决策函数对故障响应敏感情况隔离故障传感器。Matlab/Simulink仿真实验结果与分析表明:故障检测指标实时值大于等于阈值0.5时,可定量化检测出主动悬架传感器故障;同时,相对其他二级决策变量出现明显大幅跳跃性波动的二级决策变量,对应传感器被隔离为故障传感器。该方法能有效实现汽车主动悬架传感器故障检测与隔离,优化悬架设计,提高车辆控制可靠性和使用安全性。 A sensor fault detection and isolation method was put forward for ordinary faults as vehicle active suspension system dead- locking, gain variation and constant deviation. A four-degree-of-freedom half vehicle model with active suspension system was built, and so was a fault suspension model when the sensor failed. Sensor' s fault quantitative detection was realized by output residual error obtained from fault detecting filter, by designing the fault detection index and by calculating the real-time value of fault detection index and comparing it with the threshold value. Active suspension state estimation information was obtained from Kalman filter group, mean- time the fault isolation decision-making function was constructed by selecting the appropriate two-stage decision variables, thus to isolate faulty sensor according to the response sensitivity of decision-making function to the faults. The results of simulation experiment and a- nalysis under Matlab/simulink show that the sensor fault can be detected quantitatively when fault detection index real-time value is greater than or equal to 0. 5 of threshold value and that sensor can be isolated as the fault sensor when it' s two-stage decision variable appears significant jump fluctuation corresponding to other variables. This method is effective to detect and isolate vehicle active sus- pension sensor fault, to optimize suspension design, and to enhance the vehicle control reliability and use security.
出处 《控制工程》 CSCD 北大核心 2014年第2期283-289,共7页 Control Engineering of China
基金 国家自然科学基金资助项目(51075112 51178158) 安徽省高校省级自然科学研究项目(KJ2012B050)
关键词 汽车主动悬架 传感器故障 检测指标 决策函数 检测与隔离 vehicle active suspension sensor fault detection index decision function detection and isolation
  • 相关文献

参考文献9

  • 1Hayakawa K, Matsumoto K, Yamashita M, et al. Robust output feedback control of decou - pied automobile active suspension sys- tems [ J ]. IEEE Transactions on Automatic Control, 1999, 44 ( 2 ) : 392-396.
  • 2方敏,汪洪波,陈无畏.汽车主动悬架系统H_∞控制器的降阶[J].控制理论与应用,2007,24(4):553-560. 被引量:14
  • 3Li Y ,liu S J. Preview control of an active vehicle suspension sys- tem based on a four-degree-of-freedom half-car model [ C ]. Second International Conference on Intelligent Computation Technology and Automation. Changsha, 2009:826-830.
  • 4Chamseddine A, Noura H, Ouladsine M. Sensor fault detection, identication and fault tolerant control: application to active suspen- sion [ C ]. Proceedings of the 2006 American Control Conference. Minneapolis, 2006:2351-2356.
  • 5Fischer D, Kaus E, Isermann R. Fault detection for an active ve- hicle suspension[ C ]. Proceedings of The 2003 American Control Conference. Colorado, 2003:4377-4382.
  • 6Gaspar P, Szabo Z, Bokor J. Design of recon- figurable and fault- tolerant on LPV methods [C]. Proceedings of The 47th IEEE Con- ference on Decision and Control. Cancun. 2008,5384-5389.
  • 7Yu F, Crolla D A. An optimal self-tuning controller for an aclive suspension [ J ]. Vehicle System Dynamics, 1998,29 ( 1 ) : 51-65.
  • 8Hasbullan F, Faris F F. A comparative analysis of LQR and fuzzy logic controller for active suspension using half car model [ C ]. 2010 11 th International Conference on Control Automation Robotics and Vision. Sin~aoore, 2010:2415-2420.
  • 9Hwang I, Kim S W, Kim Y, et al. A survey of fault detection, isolation, and reconfiguration methods [ J ]. IEEE Transactions on Control Systems Technology ,2010,18 ( 3 ) :636-653.

二级参考文献8

  • 1YAMASHITA M, FUJIMORI K, HAYAKAWA K, et al. Application of H∞ control to active suspension systems[J]. Automatica, 1994,30(11): 1717 - 1729.
  • 2WANG J, XU W, CHEN W. Optimal Hankel-norm reduction of active suspension model with application in suspension multiobjective control[J]. Int J of Vehicle Design, 2006, 40(1/2/3): 175 - 195.
  • 3AMIRIFAR R. A low-order controller design for an active suspension system via linear matrix inequalities[J]. J of Vibration and Control,2004, 10(8): 1181 - 1197.
  • 4IKENAGA S, LEWIS F L, CAMPOS J, et al. Active suspension control of ground vehicle based on a full-vehicle model[C]//Proc of American Control Conference. Chicago, Illinois: IEEE Press, 2000:4019 - 4024.
  • 5DAVE C,喻凡.车辆动力学及其控制[M]北京:人民交通出版社,2003:74-101.
  • 6WANG J. Generalized multi-objective control with applications to vehicle suspension systems[D]. Leeds, UK: University of Leeds, 2003.
  • 7KEITH G. All optimal Hankel-norm approximations of linear multivariable systems and their L∞-error bounds[J]. Int J Control, 1984,39(6): 1115- 1193.
  • 8GREEN M, LIMEBEER D J N. Linear Robust Control[M]. USA:Prentice-Hall, Inc, 1995.

共引文献13

同被引文献48

引证文献7

二级引证文献29

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部