期刊文献+

多模型卡尔曼滤波器的研究 被引量:4

Investigation on multi mode KALMAN filter
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摘要 在深入研究卡尔曼滤波算法的基础上,提出多模型卡尔曼滤波器的工程设计方法.分别针对二阶系统和船舶模型进行了大量的仿真研究.其结果表明,对参数突变的系统,应用该方法进行状态估计或参数辨识,具有很好的跟踪突变参数的效果.仿真结果展示,该方法具有广阔的工程应用前景. Based on a deep investigation on KALMAN filters, this paper presents a multiple model KALMAN filter method for engineering design. Through a number of simulations for both second order system and ship control system, it is demonstrated that the method is effective for systems with sharp changing parameters. Simulations also show that the method is applicable to a number of engineering problems for state estimate and parameter identification.
出处 《大连海事大学学报》 CAS CSCD 1999年第4期1-5,25,共6页 Journal of Dalian Maritime University
基金 国家自然科学基金 国家教委优秀年轻教师基金
关键词 控制 多模型 卡尔曼滤波器 状态估计 仿真 ship control multiple model KALMAN filter state estimate nonlinear system
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二级参考文献5

  • 1Magrill D T. Optimal adaptive estimation of sampled stochasic processes. IEEE Trans. Automatic Control, 1965, AC-I0(4) :434-439.
  • 2Athans M et al. The stochastic control of the F-8C aircraft using a multiple adaptive control (MMAC)method-Part 1: Equilibrium flight. IEEE Trans. Automatic control, 1977,AC-22(5):768-780.
  • 3Maybeck P S, R D Stevens. Reconfigurable flight control via mutiple model adaptive control methods.IEEE Trans. Aerospce and Electronic System, 1991, 27(3) :470-479.
  • 4Lund E J. On-line discrimination and estimation in multiple regime systems. Ph. D Thesis. The Norwegian Institute of Technology, 1992:1-185.
  • 5Hihorst R A . Supervisory control of mode-switch processes. Ph. D Thesis. Netherlands: University of Twente, 1992:1-161.

同被引文献17

  • 1王大轶,黄翔宇,关轶峰,马兴瑞.基于IMU配以测量修正的月球软着陆自主导航研究[J].宇航学报,2007,28(6):1544-1549. 被引量:12
  • 2冯绍军,袁信.观测度及其在卡尔曼滤波器设计中的应用[J].中国惯性技术学报,1999,7(2):19-22. 被引量:16
  • 3[1]Keigo Watanabe and Spyros G. Tzafestas. A Hierarchical Multiple Model Adaptive Control of Discrete-time Stochastic System for Sensor and Actuator Uncertainties[J]. Automatica,1990,5 (26): 875-886
  • 4[3]Y. Bar-Shalom and Thomas .E. Fortmann. Tracking and Data Association[M]. Academic Press, Florida, 1988:162-199
  • 5Misu T, Hashimoto T, Ninomiya K. Optical Guidance for Autonomous Landing of Spacecraft [J]. IEEE Transactions on Aerospace and Electronic Systems, 1999, 35(2) :459-473.
  • 6Levesque J F, de Lafontaine J. Innovative Navigation Schemes for State and Parameter Estimation during Mars Entry[J]. Journal of Guidance Control and Dynamics, 2007, 30(1) : 169-184.
  • 7Paschall S C, Brady T, Cohanim B E, et al. A Self Contained Method for Safe and Precise Lunar Landing [C]. IEEE Aerospace Conference, Big Sky, MT,2008.
  • 8Huang X Y, Wang D Y. Autonomous Navigation and Guidance for Pinpoint Lunar Soft Landing[C]. IEEE International Conference on Robotics and Biomimetics, Sanya, China, 2007.
  • 9Keigo Watanabe and Spyros G.Tzafestas. A Hierarchical Multiple Model Adaptive Control of Discrete-time Stochastic System for Sensor and Actuator Uncertainties[J]. Automatica, 1990, 5 (26): 875-886.
  • 10Y. Bar-Shalom and Thomas .E. Fortmann. Tracking and Data Association[M]. Academic Press, Florida, 1988:162~199.

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