Instrumentation & Measurement Magazine 25-2 - 44

of exploration and conducted research in this area. They constructed
an active vibration control CNC platform based on
magnetic bearing. They conducted theoretical simulation and
analysis of the magnetic bearing chatter control system, showing
that the system has excellent performance in improving
cutting stability and machining efficiency [14].
Summary
With the development of computer science and control technology,
considerable progress has been made in China on AVC
in fields such as vibration test, civil engineering, and mechanical
engineering, among others. As a branch of mechatronics,
AVC technology and its supporting industry has begun to take
shape, including manufacture of all kinds of sensors, actuators
and controllers. In the future, AVC technology is expected to
develop towards the following directions:
◗ Active vibration control technology facing ultra-low
frequency, for example, active isolation facing mHz-level
is significantly required in Big Science projects such as the
gravitational wave detector.
◗ Active vibration control technology facing ultra-high
frequency, for example, an active vibration control test
system facing 10 kHz-level is significantly required in
vibration testing of aerospace products.
◗ Inertial sensing and actuating technology, for example,
high accuracy sensors and actuators without basis reference
and reaction force are extremely important in free
moving controlled plants.
◗ Bionic active vibration control technology, for example,
active stabilizer, active spectral reshaping, active
constrained layer, etc.
References
[1] H. S. Tsien and X. Qian, Engineering Cybernetics [M]. New York,
New York, USA: McGraw-Hill, 1954.
[2] K. Chen and Y. Ma, Adaptive Active Noise Control-Principle,
Algorithm and Implementation (in Chinese). Xi'an, China:
Northwestern Polytechnical University Press, 1993.
[3] P. A. Nelson and S. J. Elliott, Active Control of Sound. Cambridge,
Massachusetts, USA: Academic Press, 1991.
[4] Z. Gu, K. Ma, and W. Chen, Active Vibration Control, (in Chinese).
National Defense Industry Press, 1997.
[5] J. Ou, Active, Semi-active and Intelligent Control of Structural
Vibration, (in Chinese). Science Press, 2003.
[6] X. Zhou and D. Jiang, Active Control of Structural Vibration, (in
Chinese). Science Press, 2009.
[7] C. Zhang, D. Mei and Z. Chen, Active Vibration Control and
Application (in Chinese). Harbin Institute of Technology Press, 2011.
[8] T. Yang, G. Jin and Z. Liu, Active Control of Vibration of Marine
Power Plant (in Chinese). Harbin Engineering University Press,
2011.
[9] Y. Zhou and Q. Zhang, Active Noise and Vibration Control-Principle,
Algorithm and Implementation (in Chinese). TsingHua University
Press, 2014.
[10] F. Wang, Z. Weng, and L. He, Active Control of Structural Vibration
(in Chinese). Harbin Engineering University Press, 2016.
44
[11] A. Li and W. Qu, " Research on hybrid vibration control of
Nanjing TV Tower under wind excitation, " J. Building Structures,
(in Chinese), vol. 017, pp. 9-17, 1996.
[12] W. Qu, " Intelligent control for structural vibration of civil
engineering, " Eng. Mechanics, (in Chinese), vol. 25, pp. 106-116,
2008.
[13] C. Wang, X. Zhang, J. Liu, H. Cao, and X. Chen, " Adaptive
vibration reshaping based milling chatter suppression, " Int. J.
Machine Tools and Manufacture, vol. 141, pp. 30-35, 2019.
[14] G. Ren, Z. Chen, H. Zhang, Y. Wu, and H. Ding, " Design of
interval type-2 fuzzy controllers for active magnetic bearing
systems, " IEEE/ASME Trans. Mechatronics, vol. 25, pp. 2449-2459,
2020.
Jinxin Liu (jinxin.liu@xjtu.edu.cn) is an Associate Professor of
Mechanical Engineering with Xi'an Jiaotong University, Xi'an,
China. His current research area is active safety control of machinery
and equipment, including active vibration control,
fault tolerant control, and precision control of large-scale, complex
and dynamical systems. He received his B.S. degree from
the School of Electrical Engineering at Xi'an Jiaotong University
in 2011 and the Ph.D. degree from the School of Mechanical
Engineering at Xi'an Jiaotong University in 2016. He was a Visiting
Scholar at the Lawrence Berkeley National Laboratory in
Berkeley, California in 2014 and 2015.
Xingwu Zhang (xwzhang@mail.xjtu.edu.cn) is a Professor of
Mechanical Engineering with Xi'an Jiaotong University, Xi'an,
China where he received the Ph.D. degree in mechanical engineering
in 2012. His research interests include dynamic systems
modeling and analysis, structural health monitoring, and active
vibration control. Dr. Zhang is a senior member of IEEE and is
a member of the Instrumentation and Measurement Society's
Technical Committee 7-Signals and Systems in Measurement.
Chenxi Wang (wangchenxi@xjtu.edu.cn) is an Assistant Professor
in the School of Mechanical Engineering, Xi'an Jiaotong
University, Xi'an, China, where he received his Ph.D. degree in
2020. His research interests are milling dynamics and chatter,
vibration active control, wavelet finite element method, and
inverse problem modelling.
Ruqiang Yan (yanruqiang@xjtu.edu.cn, corresponding author)
joined the School of Mechanical Engineering at the Xi'an Jiaotong
University, Xi'an, China, as the Executive Director of
International Machinery Center in February 2018. Previously,
he was Professor at the School of Instrument Science and Engineering
at the Southeast University from 2009 to 2018. He
received his Ph.D. degree from the University of Massachusetts
Amherst in 2007 and was a Guest Researcher at the National Institute
of Standards and Technology (NIST) from 2006 to 2008.
He was selected to be ASME Fellow in 2019. His research interests
include nonlinear time-series analysis, multi-domain
signal processing, and energy-efficient sensing and sensor
networks for the condition monitoring, health diagnosis and
active control of large-scale, complex and dynamical systems.
IEEE Instrumentation & Measurement Magazine
April 2022

Instrumentation & Measurement Magazine 25-2

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