Please wait a minute...
Frontiers of Mechanical Engineering

ISSN 2095-0233

ISSN 2095-0241(Online)

CN 11-5984/TH

邮发代号 80-975

2019 Impact Factor: 2.448

Front. Mech. Eng.  2010, Vol. 5 Issue (2): 176-183   https://doi.org/10.1007/s11465-010-0001-5
  Research articles 本期目录
Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator
Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator
Xinhua WANG1,Shuwen SUN1,Jian ZHEN1,Qianyi YA2,Deguo WANG2,
1.College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China; 2.College of Mechanical and Electrical Engineering, China University of Petroleum, Beijing 102249, China;
 全文: PDF(257 KB)  
Abstract:The structure and principle of a new type of a diphase opposition giant magnetostrictive self-sensing actuator is introduced. A bridge analysis model based on variable inductance is established. Dynamic balance separation technology for the giant magnetostrictive self-sensing actuator comes true by the least means square (LMS) self-adapting algorithm. The scheme design of one important part of the circuit with the real-time separation circuit of the dynamic balance signal based on a digital signal processor is obtained. The part of the signal separated circuit is designed, which includes logarithmic-antilog practical multiplication circuit, amplifying circuit, filter circuits, and amplifier circuit. Based on the embedded system simulation software—PROTUES, the simulation effect of the circuit that separates the sensing signal from the mixed signals is obvious, which indicates that the circuit can rapidly and stably work. Moreover, the structure is simple, reliable, and meets the practical requirement.
Key wordsgiant magnetostrictive material (GMM) self-sensing actuator    least means square (LMS) self-adapting algorithm    design of self-adaptive circuit
出版日期: 2010-06-05
 引用本文:   
. Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator[J]. Front. Mech. Eng., 2010, 5(2): 176-183.
Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG, . Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator. Front. Mech. Eng., 2010, 5(2): 176-183.
 链接本文:  
https://academic.hep.com.cn/fme/CN/10.1007/s11465-010-0001-5
https://academic.hep.com.cn/fme/CN/Y2010/V5/I2/176
Jenner A G, Greenough R D, Wilkinson A J, Parvinmher A. Performance of magnetostrictive rare earth iron compoundsfor device. IEEE Transactions on Magnetics, 1990, 26(5): 2589–2591

doi: 10.1109/20.104807
Tan X B, John S B. Modeling and control of a magnetostrictive actuator. Automatica, 2004, 40(9): 1469–1480

doi: 10.1016/j.automatica.2004.04.006
Ben H S, Martin L. Self-sensing applications for electromagnetic actuators. Sensors and Actuators A: Physical, 2004, 116(2): 345–351

doi: 10.1016/j.sna.2004.05.003
Tzou H S, Anderson G L, Natori M C. Active Structure, Device, and Systems: Chapter authored by Gacia E and Jones L D. Singapore: World Science Publishing Company, 1997
Hall D L. Dynamics and vibrations of magnetostrictive transducer. PhD Dissertation, Ames: Iowa State University, 1994, 56–78
John P, Alison B F. Development and analysis of a self-sensing magnetostrictive actuator design. In: Proceedings of SPIE, Smart Structures and IntelligentSystems, VOL 1917, 1993, 952–961
Vipperman J S. Adaptive piezoelectric sensorial actuators for activestructural acoustic control. PhD Dissertation, Durham: Duke University, 1997, 67–86
Wong K K, Cheng R S K, Letaief K B, Murch R D. Adaptive antennas at the mobile and base stations inan OFDM/TDMA system. IEEE Transactionson Communications, 2001, 49(1): 195–206

doi: 10.1109/26.898262
Julie E G. Modified LMS algorithms for speech processing with anadaptive noise cancelle. IEEE Transactions on Speech and Audio Processing, 1998, 6(4): 338–351

doi: 10.1109/89.701363
Widrow B, Duvall K, Gooch R, Newman W. Signal cancellation phenomena in adaptive antennas: causes and cures. IEEE Transactions on Antennas and Propagation, 1982, 30(3): 469–478

doi: 10.1109/TAP.1982.1142804
Gorriz J M, Ramirez J, Cruces-Alvarez S, Puntonet C G, Lang E W, Erdogmus D. A novel LMS algorithm applied to adaptivenoise cancellation. IEEE Signal ProcessingLetters, 2009, 16(1): 34–37

doi: 10.1109/LSP.2008.2008584
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed