Modeling and Simulation of Influence Coefficient Table Method for Rotor Single-plane Online Active Balancing

Fan Hongwei; Shi Bijia; Jing Minqing

doi:10.13433/j.cnki.1003-8728.20180105

Volume 37 Issue 8

Aug. 2018

Turn off MathJax

Article Contents

Article Navigation > Mechanical Science and Technology for Aerospace Engineering > 2018 > 37(8): 1195-1199

Fan Hongwei, Shi Bijia, Jing Minqing. Modeling and Simulation of Influence Coefficient Table Method for Rotor Single-plane Online Active Balancing[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(8): 1195-1199. doi: 10.13433/j.cnki.1003-8728.20180105

Citation:

Fan Hongwei, Shi Bijia, Jing Minqing. Modeling and Simulation of Influence Coefficient Table Method for Rotor Single-plane Online Active Balancing[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37(8): 1195-1199. doi: 10.13433/j.cnki.1003-8728.20180105

Citation:

PDF( 962 KB)

Modeling and Simulation of Influence Coefficient Table Method for Rotor Single-plane Online Active Balancing

doi: 10.13433/j.cnki.1003-8728.20180105

1.
School of Mechanical Engineering, Xi'an University of Science and Technology, Xi'an 710054, China;
2.
Key Laboratory of Education Ministry for Modern Design & Rotor-bearing System, Xi'an Jiaotong University, Xi'an 710049, China;
3.
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China

Received Date: 2017-11-21
Publish Date: 2018-08-05

Abstract

Abstract

An intelligent balancing strategy of influence coefficient table was presented to solve the online active balancing problem of rotor with one balancing plane and one testing point. Mathematical model of influence coefficient table method for rotor online active balancing was established in this paper, its control stability was analyzed and implementation scheme was designed. Numerical simulation of rotor single-plane single-point influence coefficient table method was carried out; the online active balancing iteration process with accurate and inaccurate initial influence coefficient cases was quantitatively given. By contrast analysis of the proposed method with adaptive and self-correcting algorithms, it is proven that the proposed method is feasible for the stable rotor, and it has the significant advantage of improving the online active balancing efficiency.
- rotor,
- single-plane balancing,
- online active balancing,
- influence coefficient table,
- adaptive balancing

FullText(HTML)

References(15)

References

[1]	樊红卫,景敏卿,刘恒.主动混合式砂轮-电主轴系统自动平衡装置研究综述[J].振动与冲击,2012,31(5):26-30,41 Fan H W, Jing M Q, Liu H. Review for studying on active hybrid auto-balancer of grinding wheel and motor spindle[J]. Journal of Vibration and Shock, 2012,31(5):26-30,41(in Chinese)
[2]	宾光富,李学军,沈意平,等.基于动力学有限元模型的多跨转子轴系无试重整机动平衡研究[J].机械工程学报,2016,52(21):78-86 Bin G F, Li X J, Shen Y P, et al. Whole-machine dynamic balancing method without trial weights for multi-span rotor shafting based on dynamic finite element model[J]. Journal of Mechanical Engineering, 2016,52(21):78-86(in Chinese)
[3]	刘钢旗,郑龙席,梅庆,等.一种跨二阶柔性转子无试重模态平衡方法[J].航空学报,2014,35(4):1019-1025 Liu G Q, Zheng L X, Mei Q, et al. Balancing method of flexible rotor across second order without trial weights[J]. Acta Aeronautica et Astronautica Sinica, 2014,35(4):1019-1025(in Chinese)
[4]	Van de Vegte J, Lake R T. Balancing of rotating systems during operation[J]. Journal of Sound and Vibration, 1978,57(2):225-235
[5]	Dyer S W, Ni J, Zhuang Z H, et al. Auto-tuning adaptive supervisory control of single-plane active balancing systems[C]//Proceedings of the 4th International Conference on Frontiers of Design and Manufacturing. Dearborn, MI:Society of Manufacturing Engineers, 2000:1-6
[6]	Dyer S W. Adaptive optimal control of active balancing systems for high-speed rotating machinery[D]. Michigan:University of Michigan, 1999
[7]	Zhou S Y, Shi J J. Imbalance estimation for speed-varying rigid rotors using time-varying observer[J]. Journal of Dynamic Systems, Measurement, and Control, 2001,123(4):637-644
[8]	Dyer S W, Shi J J, Ni J, et al. Robust optimal influence-coefficient control of multiple-plane active rotor balancing systems[J]. Journal of Dynamic Systems, Measurement, and Control, 2002,124(1):41-46
[9]	Shin K K. Adaptive control of active balancing systems for speed-varying rotating machinery[D]. Michigan:University of Michigan, 2001
[10]	Kim J S, Lee S H. The stability of active balancing control using influence coefficients for a variable rotor system[J]. The International Journal of Advanced Manufacturing Technology, 2003,22(7-8):562-567
[11]	DeSmidt H A, Jung D. Automatic balancing of twin co-planar rotors[J]. Journal of Vibration and Acoustics, 2012,134(1):011007
[12]	樊红卫,景敏卿,王仁超,等.磁力配重型在线自动平衡头的作动原理研究[J].西安交通大学学报,2013,47(2):97-102 Fan H W, Jing M Q, Wang R C, et al. Actuating principle of online automatic balancer with counter weight driven by magnetic force[J]. Journal of Xi'an Jiaotong University, 2013,47(2):97-102(in Chinese)
[13]	樊红卫,景敏卿,智静娟,等.转子在线动平衡嵌入式控制系统开发与验证[J].振动、测试与诊断,2015,35(4):746-751 Fan H W, Jing M Q, Zhi J J, et al. Development and validation of embedded control system for rotor online automatic balance[J]. Journal of Vibration, Measurement & Diagnosis, 2015,35(4):746-751(in Chinese)
[14]	史必佳.砂轮-电主轴在线主动平衡控制策略研究[D].西安:西安交通大学,2016 Shi B J. Study on online active balance control strategy of grinding wheel and motorized spindle[D]. Xi'an:Xi'an Jiaotong University, 2016(in Chinese)
[15]	徐宾刚,屈梁生,孙瑞祥.基于影响系数法的柔性转子无试重平衡法研究[J].西安交通大学学报,2000,34(7):63-67 Xu B G, Qu L S, Sun R X. Balancing of flexible rotors without test weights[J]. Journal of Xi'an Jiaotong University, 2000,34(7):63-67(in Chinese)