直升机主减半主动反共振隔振技术研究
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TB123

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国家自然科学基金资助项目(51775270)


Helicopter Main Reducer Anti-vibration Isolation Technology
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    摘要:

    根据现有主减反共振隔振和主动控制理论,设计新型直升机主减隔振原理样机模型。随着直升机工作频率的改变,隔振系统识别频率的变化,自动调节隔振器质量块位置,使系统始终有隔振效果。以直升机原理样机为对象,加入基于神经网络的控制方法,对实验对象进行动力学特性标定,获得质量块位置与工作频率之间的关系。研究频率跟踪算法,将神经网络和频率跟踪算法两者结合,编制出可以采集信号,识别频率的LabVIEW程序。实验结果证明,新型主减隔振系统隔振效果和控制效果符合预期,可以为直升机主减的振动主动控制系统设计提供一定的指导。

    Abstract:

    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.

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  • 在线发布日期: 2020-07-02
  • 出版日期: 2020-06-30
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