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基于频域双LMS的MFC智能旋翼减振降噪

Vibration damping and noise reduction of MFC intelligent rotor based on frequency-domain dual LMS method
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摘要 在直升机旋翼主动减振降噪技术中,基于压电纤维复合材料(MFC)的智能扭转旋翼因不需要任何额外的机械部件成为最有前景的方法之一。目前,大部分基于MFC的主动扭转旋翼(ATR)减振降噪技术仍处于理论研究阶段。选用MFC作为驱动器,基于NACA23012翼型的智能扭转旋翼,提出了一种简单双最小均方(LMS)频域自适应高阶谐波控制(HHC)方法,并在3.4 m×2.4 m开口风洞中进行了振动与噪声主动闭环控制试验。该算法相对于传统的频域HHC算法,单谐波控制时计算量降低了5.5~11倍;在旋翼转速150~210 r/min、风速5~10 m/s、旋翼轴倾角0°和8°的不同工况下,控制器可以降低27.24%~58.55%的振动水平;在旋翼转速210 r/min、风速10 m/s、旋翼轴倾角0°时,控制器可以降低约2.5~3.2 dB的噪声水平。 In helicopter rotor active vibration and noise reduction technology,smart torsional rotors based on Macro Fiber Composite(MFC)are considered as one of the most promising methods due to their lack of any additional mechanical components.Currently,most Active Torsion Rotor(ATR)vibration and noise reduction technologies based on MFC are still in the theoretical research stage.This paper uses MFC as the actuator and proposes a simple dual Least Mean Square(LMS)frequency-domain adaptive Higher Harmonic Control(HHC)algorithm for the smart torsional rotor based on the NACA23012 airfoil.Vibration and noise active closed-loop control experiments are conducted in a 3.4 m×2.4 m open-circuit wind tunnel.Compared to traditional frequency-domain HHC algorithms,the computational effort for single harmonic control is reduced by 5.5 to 11 times.Under various conditions,such as rotor speeds from 150 r/min to 210 r/min,wind speeds from 5 m/s to 10 m/s,and rotor shaft tilt angles of 0°and 8°,the controller reduces vibration levels by 27.24%to 58.55%.At a rotor speed of 210 r/min,wind speed of 10 m/s,and rotor shaft tilt angle of 0°,the controller can reduce noise levels by about 2.5 dB to 3.2 dB.
作者 周千千 季宏丽 陶翀骢 吴义鹏 张超 裘进浩 ZHOU Qianqian;JI Hongli;TAO Chongcong;WU Yipeng;ZHANG Chao;QIU Jinhao(State Key Laboratory of Mechanics and Control for Aerospace Structures,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处 《航空学报》 北大核心 2025年第15期154-171,共18页 Acta Aeronautica et Astronautica Sinica
基金 国家重点研发计划(2021YFB3400100)。
关键词 智能扭转旋翼 压电纤维复合材料 最小均方法 主动控制 减振降噪 smart torsional rotor macro fiber composite least mean squares method active control vibration and noise reduction
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