Helicopter Main Reducer Anti-vibration Isolation Technology

被引：0

作者：

Wang Z. ^{[1
]}

Wang K. ^{[1
]}

Deng T. ^{[1
]}

机构：

[1] Institute of Vibration Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing

来源：

| 1600年 / Nanjing University of Aeronautics an Astronautics卷 / 40期

关键词：

Anti-resonancevibration isolation; Helicopter main reducer; Neural network; Semi-active control;

D O I：

10.16450/j.cnki.issn.1004-6801.2020.03.021

中图分类号：

学科分类号：

摘要：

According to the existing theory of main anti-resonant vibration isolation and active control, a new type of helicopter main vibration isolation prototype is designed. With the change of the operating frequency of the helicopter and the change of the frequency of the vibration isolation system, the mass position of the vibration isolator will be automatically adjusted, so that the system will always have the effect of vibration isolation. Taking the helicopter prototype as the object, using the neural network-based control method, the dynamic characteristics of the experimental object are calibrated to obtain the relationship between the position of the mass and the operating frequency. By studying the frequency tracking algorithm and the combination of the neural network and frequency tracking algorithm, a LabVIEW program that can acquire signals and identify frequencies is created. The experimental results show that the vibration isolation effect and control effect of the new main vibration isolation system are in line with expectations and can play a guiding role in the design of the active vibration control system for helicopters. © 2020, Editorial Department of JVMD. All right reserved.

引用

页码：572 / 577

页数：5

共 10 条

[1] PHURIWAT A I., Semi-active control of helicopter vibration using controllable stiffness and damping device, (2002)
[2] BALKE R W., Development of the kinematic focal isolation system for helicopter rotors, 38th Shock and Vibration Symposium, pp. 263-283, (1968)
[3] FLANNELLY W G., The dynamic anti-resonant vibration isolator, American Helicopter Society 22th Annual Forum, pp. 153-158, (1966)
[4] GU Zhongquan, Dynamic anti-resonance vibration isolation, Noise and Vibration Control, 6, pp. 36-40, (1989)
[5] (2014)
[6] (2017)
[7] GEORGIEVA A, JORDANOV I., Intelligent visual recognition and classification of cork tiles with neural networks, IEEE Transactions on Neural Networks, 20, 4, pp. 675-685, (2009)
[8] DING S, ZHANG Y, CHEN J, Et al., Research on using genetic algorithms to optimize Elman neural networks, Neural Computing & Applications, 23, 2, pp. 293-297, (2013)
[9] GAO Daqi, Research on the structure of forward three-layer neural network with linear basic functions of teachers, Advances in New Energy, 21, 3, pp. 31-37, (1997)
[10] RIFE D, BOORSTYN R R., Single tone parameter estimation from discrete-time observations, IEEE Transactions on Information Theory, 20, 5, pp. 591-598, (1974)

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