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ADAPTIVE ALGORITHMS FOR ROTORCRAFT ACTIVE VIBRATION CONTROL

机译:转子主动振动控制的自适应算法

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Rotorcraft vibration suppression has traditionally relied on passive devices, such as vibration isolation systems and dynamic absorbers that are effective at a single rotor speed. However, modern rotorcraft designs are moving towards variable rotor speed configurations for improved performance and reduced noise initiatives. Thus, in recent years airframe manufacturers, including Bell Helicopter Textron Inc., have been developing advanced Active Vibration Control (AVC) systems. Adaptive AVC algorithms have been developed and tested at Bell Helicopter to address the challenges of multiple rotor speeds and other aircraft changes that influence the vibration environment. These AVC algorithms are developed around the gain scheduling, automated real-time transfer function identification, and adaptive reference model methods. Laboratory testing of the algorithms using full-scale hardware has demonstrated their effectiveness and robustness. These algorithms have also been flight tested successfully on a Bell Model 430 helicopter. A summary of the algorithms and the test results is presented.
机译:旋翼飞机的减振传统上是依靠被动装置,例如隔振系统和动态吸收器,它们只能在单个旋翼速度下有效。但是,现代旋翼飞机的设计正朝着可变旋翼速度配置的方向发展,以提高性能并降低噪音。因此,近年来,包括贝尔直升机德事隆公司在内的机身制造商已经在开发先进的主动振动控制(AVC)系统。自适应AVC算法已经在Bell直升机公司开发和测试,以解决多旋翼速度和影响振动环境的其他飞机变化的挑战。这些AVC算法是围绕增益调度,自动实时传递函数识别和自适应参考模型方法开发的。使用全尺寸硬件对算法进行的实验室测试证明了其有效性和鲁棒性。这些算法也已经在贝尔430型直升机上成功进行了飞行测试。总结了算法和测试结果。

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