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ADAPTIVE ALGORITHMS FOR ROTORCRAFT ACTIVE VIBRATION CONTROL

机译:旋翼飞行器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:旋翼飞机振动抑制传统上依赖于无源装置,例如在单个转子速度下有效的振动隔离系统和动态吸收器。然而,现代旋翼设计设计朝向可变转子速度配置,以提高性能和降低的噪声计划。因此,近年来,机身制造商包括贝尔直升机Textron Inc.,一直在开发先进的主动振动控制(AVC)系统。在贝尔直升机上开发和测试了自适应AVC算法,以解决影响振动环境的多个转子速度和其他飞机变化的挑战。这些AVC算法围绕增益调度,自动实时传递函数识别和自适应参考模型方法开发。使用全规模硬件的算法的实验室测试已经证明了它们的有效性和鲁棒性。这些算法也一直在贝尔模型430直升机上成功进行了飞行。展示了算法和测试结果的摘要。

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