Unknown disturbance estimation for a vibration system of piezoelectric smart structures

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (16) : 37-41.

WU Binyi1,QIN Xiansheng1,ZHANG Shunqi2,WANG Zhanxi1,BAI Jing1,LI Jing1

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Abstract

Vibration is easily caused by external disturbances, which may lead to fatigue damage and reduce the service life.However, in many practical engineering applications, disturbances are unknown or difficult to be measured directly.In this paper, a proportional-integral (PI) observer based on the Kalman filter was developed for smart structures using multiple distributed piezoelectric sensors, and the data of estimated disturbance with different positions were obtained through simulation test.The simulation results show that the proposed method has better dynamic performance for the external unknown disturbances with measurement noises compared to traditional proportional-integral observers.

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disturbance estimation / Kalman filter / proportional integral observer / piezoelectric sensors

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WU Binyi1,QIN Xiansheng1,ZHANG Shunqi2,WANG Zhanxi1,BAI Jing1,LI Jing1. Unknown disturbance estimation for a vibration system of piezoelectric smart structures[J]. Journal of Vibration and Shock, 2019, 38(16): 37-41

References

[1]Y. Liu, W. Steve Shepard Jr.An improved method for the reconstruction of a distributed force acting on a vibrating structure[J].Journal of sound and vibration,2006,291:369-387.
[2] Y.Jia, Z.C. Yang, N.Guo, L. Wang. Random dynamic load identification based on error analysis and weighted total least squares method[J]. Journal of sound and vibration,2015,358:111-123.
[3] D. Ginoya, P.D. Shendge, S.B. Phadke. Delta-operator-based extended disturbance observer and its applications[C]. IEEE transactions on industrial electronics, pp. 5815-5828, September2015.
[4] Q. Leclère, F. Ablitzer, C. Pézerat. Practical implementation of the corrected force analysis technique to identify the structural parameter and load distributions[J]. Journal of Sound and Vibration, 2015,351:106-118.
[5] L. Yu, T.H.T. Chan. Movingforce identification based on the frequency-time domain method[J]. Journal of Sound and Vibration, 2003,261:329-349.
[6] F.D. Barlett Jr, W.G.Flannelly. Model verification of force determination for measuring vibration loads[J]. Journal of the American Helicopter Society,1979,19(4):4-18.
[7]B.Hillary,D.J.Ewins. The use of strain gages in force determination and frequency response measurements[C]. Proceedings of 2th International Modal Analysis Conference, 627-634, 1984.
[8] G. Desangheer, R. Snoeys. Indirect identification of excitation force by modal coordinate transformation[C]. Proceedings of the 3th IMAC, pp.685-690, Florida, USA, 1985.
[9] H. Ory, H. Glaser, D. Holzdeppe. Quality of modal analysis and reconstruction of forcing functions based on measured output data[C]. Proceedings of the 4th International Modal Analysis Conference, pp.850-857, Los Angeles, 1986.
[10] P.C. Müller. Indirect Measurement of Nonlinear Effects by State Observers [C].Nonlinear Dynamics in Engineering systems IUTAM Symposium,pp.205-215,Springer, Berlin-Heidelberg, 1990.
[11]李生权.基于前馈补偿的压电智能结构复合振动主动控制[D].南京:南京航空航天大学,2012.
    Li Sheng-Quan. Composite active vibration control for smart Piezoelectric structure using feed-forward compensation[D].Nanjing: Nanjing University of Aeronautics and Astronautics,2012.
[12] S.Q.Zhang,H.N. Li, R. Schmidt, P.C. Müller. Disturbance rejection control for vibration suppression of piezoelectric laminated thin-walled structures[J]. Journal of sound and vibration, 2014,333:1209-1223.
[13]S.Q. Zhang, H.N. Li, R. Schmidt, P.C. Müller, X.S. Qin. Disturbance rejection control for vibration suppression of smart beam and plates under a high frequency excitation[J]. Journal of sound and vibration, 2015,353:19-37.
[14]王军，苏洪波，杨亚东. 智能结构的压电片位置优化及主动控制研究[J].控制工程，2013, 20(3):529-532.
    WANG Jun，SU Hong-bo，YANG Ya-dong. Studies on the Active Control and Placement of Piezoelectric in Piezoelectric[J].Control Engineering of China,2013, 20(3):529-532.
[15]邵宪友，李志鹏，杨传英等. 基于LQC-PID的EPS系统最优控制. 重庆理工大学学报(自然科学), 2015,29(9):42-47.
    SHAO Xian-you, LI Zhi-peng, YANG Chuan-ying.Based on LQC-PIDOptimal Control of EPS Systems[J]. Journal of Chongqing University of Technology(Natual Science),2015,29(9):42-47.