An adaptive active control method based on frequency estimation

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (24) : 275-282.

YANG Lihua1, SUN Junzhong1, ZHANG Haipeng1, LIU Shuyong2 ,YANG Qingchao2

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Abstract

Active control is an effective way to isolate mechanical vibration of underwater vehicles.Because of limiting factors such as installation space and equipments coupling complex excitation, it is difficult to effectively pick up or obtain a higher SNR reference signal, which seriously affects the application and effect of active control algorithms based on reference signals.Therefore, based on the filtered-x adaptive control algorithm, an adaptive control strategy without reference signal was proposed using the frequency identification and signal digital synthesis theory, and it was applied to active control for the double-layer vibration isolation system of a rotating equipment.The results show that the two algorithms can effectively reduce the residual signal of the vibration isolation system, the filtered-x adaptive algorithm has better ability to control the fundamental line spectrum, while the other one has better performance in multi-line spectrum control, and the steady-state control force of the former is basically the same as the latter, which also illustrates that the same amount of secondary vibration source energy is required to consume the same external incentives.In addition, the frequency estimation and digital synthesis method can obtain a stable and effective reference signal, which can be applied to active vibration control of rotating machinery in complex installation environment.

Key words

active control / filtered-x adaptive algorithm / frequency estimation / signal synthesis / co-simulation

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YANG Lihua1, SUN Junzhong1, ZHANG Haipeng1, LIU Shuyong2,YANG Qingchao2. An adaptive active control method based on frequency estimation[J]. Journal of Vibration and Shock, 2019, 38(24): 275-282

References

[1]Niu J C, Song K J, Lim C W. On active vibration isolation of floating raft system[J]. Journal of Sound and Vibration,2005,285 (1-2):391-406.
[2]何琳,徐伟.舰船隔振装置技术及其进展[J].声学学报, 2013,38(02):128-134.
HE Lin, XU Wei. Naval vessel machinery mounting technology and its recent advances[J]. ACTA ACUSTICA,2013,38 (02):128-134.
[3]Walrod John. Sensor and Actuator Networks for Acoustic Signature Monitoring and Control[A].Undersea Defence Technology 1999, 1999,Nice, France.
[4]WINBERG，JOHANSSON S. Active vibration isolation in ships: a pre-analysis of sound and vibration problem [J]. International Journal of Acoustic and Vibration, 2005,10 (4):175-96.
[5]New technologies-active isolation, Home page of Paulstra-vibrachocInc [EB/0L]. http://www.paulstra-vibra choc. com/Active._isolatioIl_GB.pdf
[6]Daley S, Zazas I. A recursive least squares based control algorithm for the suppression of tonal disturbances[J]. Journal of Sound and Vibration, 2012, 331(6):1270-1290.
[7]Petersen C D. Fraanje R. Cazzolato B S, et al. A Kalman filter approach to virtual sensing for active noise control[J]. Mechanical Systems and Signal Processing.2008, 22(2):490-508．
[8]郝慧荣,白鸿柏,张慧杰.六自由度主被动一体隔振平台鲁棒控制[J].振动与冲击,2012,31(7):122-127.
HAO Huitong, BAI Hongbai, ZHANG Huijie. Robust control of a 6-OF active-passive vibration isolation platform[J].Journal of vibration and shock,2012,31(7):122-127.
[9]高新科,邵鹊.智能阻尼双层隔振系统的半主动最优控制[J].振动与冲击.2012,31(19):128-133.
GAO Xinke, SHAO Hu. Semi-active optimal control of an intelligent damping double-deck vibration isolation system[J]. Journal of vibration and shock.2012,31(19):128-133.
[10]Hansen C H, Scott D S, Qiu Xiaojun, et al. Active control of noise and vibration and Vibration[M].Boca Raton:Taylor& Francis, 2013.
[11]Carra S, Amabili M, Ohayon R, et al. Active vibration control of a thin rectangular plate in air or in contact with water in presence of tonal primary disturbance[J]. Aerospace Science and Technology, 2008, 12(1):54-61
[12]Ma K. Vibration control of smart structures with bonded PZT patches: novel adaptive filtering algorithm and hybrid control scheme [J].Smart Materials and Structures, 2003,12 (3): 473.
[13]Carnahan J J, Richards C M. A modification to filtered-X LMS control for airfoil vibration flutter suppression[J].Journal of Vibration and Control,2008,14 (6):831-848.
[14]李自强,李以农,钟银辉等.基于非线性自适应滤波算法的齿轮传动系统振动主动控制[J].振动与冲击, 2017,35(6) :181-
222.
LI Ziqiang,LI Yinong,ZHONG Yinhui, et al. Nonlinear adaptive filtering algorithm for the active vibration control of gear transmission[J].Journal of vibration and shock,2017,35(6):181-222.
[15]Das D P, Moreau D J, Cazzolato B S. A computationally efficient frequency-domain filtered-X LMS algorithm for virtual microphone[J].Mechanical Systems and Signal Processing,2013,37(1):440-454.
[16]Huang Q, Luo J, Li H, et al. Analysis and implementation of a structural vibration control algorithm based on an IIR adaptive filter [J].Smart Materials and Structures,2013, 22 (8): 085008.
[17]Kim H W, Park H S, Lee S K, et al. Modified-filtered-a LMS algorithm for active noise control and its application to a short acoustic duct[J]. Mechanical Systems and Signal Processing, 2011,25(1):475-484.
[18]Akhtar M T, Abe M, Kawamata M. A new variable step size LMS algorithm-based method for improved online secondary path modeling in active noise control systems[J]. Audio, Speech, and Language Processing, 2006, 14(2): 720-726.
[19]Hyeon Jin J,Tae Gyu C,Kuo S M.Analysis of Frequency Mismatch in Narrowband Active Control[J].IEEE Transactions on Audio, Speech,and Language Processing,.2010,18(6):1632-1642.
[20]Jeon H J,Chang T G,Yu S K, et al. A narrowband acttve noise control system with frequency corrector[J].IEEE Transactions on Audio, Speech and Language Processing,2011,19(4):990-1002.
[21]Yegui X, Ma Liying, Khotasani K,et al. A new robust narrowband active noise control system in the presence of frequency mismatch[J]. IEEE Transactions on Audio, Speech and Language Processing,2006,14(6):2189-2200.
[22]储昭碧,张崇巍,冯小英.基于自适应陷波滤波器的频率和幅值估计[J].自动化学报,2010(01):60-66.
CHU Zhaobi, ZHANG Chongwei, FENG Xiaoying. Adaptive Notch Filter-based Frequency and Amplitude Estimation[J]. ACTA AUTOMIATICA SINICA,2010(01):60-66.
[23]Brown L, Zhang Q, Periodic disturbance cancellation with uncertain frequency[J].Automatica,2004,40:631-637.
[24]齐国清. 几种基于FFT频率估计方法精度分析[J].振动工程学报,2006(01): 86-92.
QI Guoqing. Accuracy analysis and comparison of some FFT based frequency estimators[J]. Journal of vibration Engineering,2006(01): 86-92.
[25]张志谊,王俊芳,周建鹏等.基于跟踪滤波的自适应振动控制[J].振动与冲击, 2009, 28(2) : 64-67.
ZHANG Zhi yi, WANG Junfang ZHOU Jianpeng, et al. Adaptive vibration control with tracking filters[J]. Journal of vibration and shock, 2009, 28(2) : 64-67.
[26]陈红兵,闵晶妍.基于频率自适应滤波器的单相锁相环[J].郑州大学学报(工学版),2015,36(2):115-119.
CHEN Hongbing, MIN Jinyan. Single Phase Phase-locked Loop Based on Self}daptive Frequency Filter[J]. Journal of Zhengzhou University (Engineering Soience),2015,36(2):115-119.
[27]Henrik, Fransson. Active Noice Reduction headset [R].Master Degree Project,2009.
[28]DMayerl, SHeroldl. Approaches for distributed active and passive vibration compensation[C].The 24th International Conference on Noise and Vibration engineering,2010:581-593.
[29]Jari Kataja, Marko Antil. A computationally efficient algorithm for narrowband active sound profiling[C]. International Congress on Sound&Vibration,Thailand,2013:1-8.
[30]Diniz P S R, Adaptive Filtering: algorithms and Practical
Implementation 4th edition[M], Springer, New York, USA, 2013.
[31]Bageshree Pathak, Padma P Hirave. FXLMS Algorithm for Feed forward Active Noise Cancellation[C].Conference Advances in Computer,Electronics and Electrical Engineering, 2012:18-22.