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动态迟滞Hammerstein系统的改进卡尔曼状态估计 被引量:4

Modified Kalman filtering for Hammerstein systems with dynamic hysteresis
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摘要 迟滞特性具有非光滑、多值映射等复杂特性.而在实际的工程中,当输入电压变化频率超过一定的范围时,迟滞的特性是随着输入频率的改变发生变化,使得整个系统的状态估计工作更复杂.本文首先提出一种新的描述动态迟滞的方法,进而描述了动态迟滞Hammerstein系统的状态空间方程,根据此系统在传统卡尔曼滤波器的基础上进行改进得到一种新的非光滑卡尔曼滤波器.最后通过仿真和实验,比较了在输入信号变化频率比较大时,用动态迟滞Hammerstein系统来描述压电陶瓷和采用静态迟滞Hammerstein系统来描述压电陶瓷的特性,非光滑卡尔曼滤波器对这两种含有噪声的模型进行滤波,结果表明由于静态迟滞Hammerstein系统的建模不能很好的描述压电陶瓷的特性,模型存在着误差,因此对系统状态估计的结果也没有用动态Hammerstein系统的误差小,从而说明当输入电压频率变化比较大时研究动态的迟滞Hammerstein模型是很有意义的. As the hysteresis inherent in the piezoceramic actuator is a nonsmooth nonlinear with multivalued mapping.In the working process of the system,the hysteresis phenomena are often rate-dependent when excited by voltage excitation with frequency content covering a wide range.It makes the state estimation of the whole system more complicated.In this paper,a new method to describe dynamic hysteresis is proposed,a non-smooth state space model for the dynamic Hammerstein system with hysteresis is constructed,then a non-smooth Kalman filter is proposed.Finally,simulation and experimental example are presented.The dynamic hysteresis Hammerstein system and the static hysteresis Hammerstein system was used to describe the characteristics of the piezoelectric actuators as the frequency increase,the hammerstein system with static hysteresis can not accurately describe the characteristics of piezoelectric actuators,non-smooth Kalman filter can not accurately estimate the state of the hammerstein system with dynamic hysteresis.Therefore,it is meaningful to study the rate-dependent hammerstein system.
作者 李海芬 谭永红 董瑞丽 程冉冉 LI Hai-fen;TAN Yong-hong;DONG Rui-li;CHENG Ran-ran(School of Electronic&Information Engineering,North China Institute of Science and Technology/Key Laboratory of Coal Safety Monitoring Technology and Production Safety,Langfang Hebei 065201,China;College of Information,Mechanical and Electrical Engineering,Shanghai Normal University,Shanghai 200234,China;College of Information Science and Technology,Donghua University,Shanghai 201620,China;Department of Science,North China Institute of Science and Technology,Langfang Hebei 065201,China)
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2020年第4期767-775,共9页 Control Theory & Applications
基金 中央高校基本科研业务费项目(3142018006,3142018012) 廊坊市科学技术局资助项目(2018011039,2016011052) 国家自然科学基金项目(61873243,31470588) 国家自然科学基金项目(61873243,61971120,31470588) 中国科学院苏州纳米技术与纳米仿生研究所对外开放课题项目(18ZS06) 上海市浦江人才项目(18PJ1400100)资助。
关键词 非光滑卡尔曼滤波器 动态迟滞 HAMMERSTEIN系统 状态估计 non-smooth Kalman filter dynamic hysteresis Hammerstein system state estimation
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  • 1赵新龙,谭永红.对Preisach类的迟滞非线性神经网络建模[J].控制理论与应用,2006,23(4):581-585. 被引量:11
  • 2李景熹,王树宗.UPF算法及其在目标跟踪问题中的应用[J].系统仿真学报,2007,19(3):675-677. 被引量:10
  • 3GORDON N J, SALMOND D J, SMITH A F M. A Novel Approach to Nonlinear/Non-Gaussian Bayesian State Estimation [J]. IEEE Proceedings on Radar and Signal Processing (S0956-375X), 1993, 140(2): 107-113.
  • 4C Musso, N Oudjane, F LeGland. Improving regularised particle filters [M]// Sequential Monte Carlo Methods in Practice, A Doucet, J F G de Frcitas, N J Gordon, Eds. New York, USA: Springcr-Vcrlag, 2001.
  • 5N Oudjane, C Musso. Progressive correction for regularized panicle filter [C]// FUSION 2000. Proceedings of the Third International Conference on, 10-13 July 2000:THB2/10-THB2/17 vol. 2.
  • 6Miodrag Bolic, Petar Miodrag Bolic Petar. New resamping algorithms for particle filters [C]// Acoustics, Speec, and Signal Processing, 2003 Proceedings (ICASSP-03), 2003 IEEE International Conference, 6-10 April 2003. USA: IEEE, 2003: 589-592.
  • 7Thomas Schon, Fredrik Gustafsson, Per-John Nordlund. Marginalized Particle Filters for Mixed Linear/Nonlinear State-space Models [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING (S1053-587X), 2005, 53(7): 2279-2289.
  • 8Doucet A, Godsill S, Andrieu C. On sequential monte carlo sampling methods for bayesian filtering [J]. Statistics and Computing (S0960-3174), 2000, 10(3): 197-208.
  • 9Audrey Giremus, Jean-Yves Tourneret, Petar M Djuric. An improved regularized particle filters for gps/ins integration [C]// IEEE 6^th Workshop on Signal Processing Advances in Wireless Communications, 2005. USA: IEEE, 2005: 1013-1017.
  • 10魏春岭.非线性滤波与神经网络在导航系统中的应用研究[D].北京:北京航空航天大学自动化学院,2002.

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