期刊文献+

水下航行器执行机构故障诊断方法研究 被引量:1

Research on Actuator Fault Diagnosis Method for Underwater Vehicle
下载PDF
导出
摘要 针对水下航行器执行机构故障论断问题,建立了航行器推进器及舵等执行机构的偏差型故障模型和航行器水平面运动模型;设计了一种采用时变渐消因子实现的强跟踪滤波器算法,在线估计航行器状态及执行机构故障偏差,通过对残差进行分析,实现了对水下航行器执行机构的故障诊断。仿真试验验证了强跟踪滤波器在航行器执行机构故障诊断中的有效性。 Aiming to solve the actuators fault diagnosis problem for underwater vehicle(in short,UV),a parameter bias actuator fault model and UV’s horizontal plane motion model are set up.A strong tracking filter by introducing a time-varied eliminated factor is designed,which is suitable for a general class nonlinear time-varying systems and can be successfully used to real-time state estimation and parameter identification.Finally,the effectiveness of the proposed method is demonstrated by the computer simulation.
出处 《中国造船》 EI CSCD 北大核心 2010年第2期132-138,共7页 Shipbuilding of China
基金 机器人技术与系统国家重点实验室(哈尔滨工业大学)开放课题基金(SKLRS200706)
关键词 水下航行器 故障诊断 强跟踪滤波器 推进系统 模型 under vehicle fault diagnosis strong tracking filter actuator model
  • 相关文献

参考文献10

二级参考文献16

  • 1[美]B.威德罗 [以色列]E.瓦莱斯 刘树棠 韩崇昭 译.自适应逆控制[M].西安:西安交通大学出版社,2000..
  • 2Rae G J S,Dunn S E.On-line damage detection for autonomous underwater vehicles[A].Autonomous Underwater Vehicle Technology[C].1994-07.
  • 3TAKAI,MOTOYUKI,URA,TAMAKI.Development of a system to diagnose autonomous underwater vehicles.International Journal of Systems Science[J].1999,(9):981-988.
  • 4ALESSANDRI A,CACCIA M.Fault detection of actuator faults in unmanned underwater vehicles[J].Control Engineering Practice,1999,(7):357-368.
  • 5FENELL C.Failure recognition and fault tolerance of an autonomous robot[J].Adaptive Behaviour,1994,(4):375-398.
  • 6[1]HEALEY A J, BAHRKE F, NAVARRETE J. Failure diagnostics for underwater vehicles: a neural network approach[J]. Manoeuvring and Control of Marine Craft,1990 (2): 294 - 305.
  • 7[2]ALESSANDRI A, CACCIA M, VERUGGIO G. Fault detection of actuator faults in unmanned underwater vehicles [J]. Control Engineering Practice 7 , 1999 ( 3 ): 357 -36.
  • 8腾召胜.智能检测系统与数据融合[M].北京:机械工业出版社,2000..
  • 9ALESSANDRI A, CACCIA M, VERUGGIO G. Fult detection of actuator fault in unmanned underwater vechiles [J]. Control Engineering Practice, 1999,7 : 357-368.
  • 10KHANMOHAMMADI S, HASSANZADEH L, ZAREI P R. Fault diagnosis competitive neural network with prioritized modification rule of connection weights[J]. Artificial Intelligence in Engineering, 2000,14 : 127-132.

共引文献12

同被引文献14

  • 1王玉甲,张铭钧.基于模糊神经网络的水下机器人实时状态监测模型[J].中国造船,2005,46(1):71-79. 被引量:5
  • 2OMERDIC E, ROBERTS G. Thruster fault diagnosis and accommodation for open-frame underwater vehicles[J]. Control Engineering Practice, 2004, 12: 1575-1598.
  • 3HANAI A M, CHOI S K, MARANI G, et al. Experimental validation of model-based thruster fault detection for underwater vehicles[C]//2009 IEEE International Conference on Robotics and Automation. May 12-17, 2009, Kobe, Japan. 2009: 194-199.
  • 4WANG Jianguo, WU Gongxing, WAN Lei, et al. Recurrent neural network applied to fault diagnosis of underwater robots[C]//2009 IEEE Intemational Conference on Intelligent Computing and Intelligent Systems, November 20-22, 2009, Shanghai, China. 2009: 593-598.
  • 5LIANG Xiao, LI Wei, SU Linfang, et al. Thruster fault diagnosis of autonomous underwater vehicles based on least disturbance wavelet neural network[C]// 2010 Second International Conference on Computer Modeling and Simulation. January 20-24, 2010, Sanya, China. 2010: 78-82.
  • 6JULIER S, UHLMANN J, DURRANT-WHYTE H E A new method for the nonlinear transformation of means and covariances in filters and estimators[J]. Automatic Control, 2000, 45(3): 477-482.
  • 7VANDER M R, WAN E A. The square-root unscented Kalman filter for state and parameter estimation[C]//2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. May 7-11, 2001, Salt Lake city, UT, USA. 2001: 3461-3466.
  • 8SONG Qi, JIANG Zhe, HAN Jianda. Active model based fault tolerant control against actuator failures for mobile robot[C]//The Sixth World Congress on Intelligent Control and Automation, June 21-23, 2006, Dalian, China. 2006: 1415-1420.
  • 9VANDER M R, WAN E A. Gaussian mixture sigma-point particle filters for sequential probabilistic inference in dynamic state-space models[C]//2003 IEEE International Conference on Acoustics, Speech, and Signal Processing. April6-10, 2003, HongKong, China. 2003: 701-703.
  • 10齐俊桐,韩建达.基于MIT规则的自适应Unscented卡尔曼滤波及其在旋翼飞行机器人容错控制的应用[J].机械工程学报,2009,45(4):115-124. 被引量:11

引证文献1

二级引证文献3

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