用于直升机振动控制的主动调谐式吸振器研究

振动问题是直升机设计中的难题,会导致机体结构疲劳、舒适性降低和高噪声等问题。通常的单桨叶控制方案由于受压电驱动器机电性能的限制而难以实现。智能弹簧是一种采用单桨叶控制原理的主动调谐式吸振器,它通过压电驱动器自适应控制桨叶根部的结构阻抗,达到振动控制目的。建立了智能弹簧的简化模型,对其谐波响应控制特性进行研究;采用频率分析和数字信号合成技术产生参考信号,在DSP平台上设计自适应陷波算法对智能弹簧驱动器组件进行控制;模拟和风洞实验结果均表明智能弹簧能够在较宽频率范围内对桨叶的谐波响应进行有效控制,验证了通过主动阻抗控制实现直升机桨叶振动控制的可行性。

Research of an Active Tunable Vibration Absorber for Helicopter Vibration Control

Significant structural vibration is an undesirable characteristic in helicopter flight that leads to structural fatigue, poor ride quality for passengers and high acoustic signature. Previous Individual Blade Control (IBC) techniques to reduce these effects have been hindered by electromechanical limitations of piezoelectric actuators. The Smart Spring is an active tunable vibration absorber using IBC approach to adaptively alter the "structural impedance" at the blade root. In this paper, a mathematical model was developed to predict the response under harmonic excitations. An adaptive notch algorithm was designed and implemented on a TMS320c40 DSP platform. Reference signal synthesis techniques were used to automatically track the shifts in the fundamental vibratory frequency due to variations in flight conditions. Closed-loop tests performed on the proof-of-concept hardware achieved significant vibration suppression at harmonic peaks as well as the broadband reduction in vibration. The investigation verified the capability of the Smart Spring to suppress multiple harmonic components in blade vibration through active impedance control.