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An Experimental Evaluation of Generalized Predictive Control for Tiltrotor Aeroelastic Stability Augmentation in Airplane Mode of Flight

机译:飞机飞行模式下悬架气动弹性稳定性增强的广义预测控制实验评估

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摘要

The results of a joint NASA/Army/Bell Helicopter Textron wind-tunnel test to assess the potential of Generalized Predictive Control (GPC) for actively controlling the swashplate of tiltrotor aircraft to enhance aeroelastic stability in the airplane mode of flight are presented. GPC is an adaptive time-domain predictive control method that uses a linear difference equation to describe the input-output relationship of the system and to design the controller. The test was conducted in the Langley Transonic Dynamics Tunnel using an unpowered 1/5-scale semispan aeroelastic model of the V-22 that was modified to incorporate a GPC-based multi-input multi-output control algorithm to individually control each of the three swashplate actuators. Wing responses were used for feedback. The GPC-based control system was highly effective in increasing the stability of the critical wing mode for all of the conditions tested, without measurable degradation of the damping in the other modes. The algorithm was also robust with respect to its performance in adjusting to rapid changes in both the rotor speed and the tunnel airspeed.
机译:提出了NASA /陆军/贝尔直升机Textron联合风洞测试的结果,以评估广义预测控制(GPC)主动控制倾转旋翼飞机斜盘以增强飞机飞行模式中的气动弹性稳定性的潜力。 GPC是一种自适应时域预测控制方法,它使用线性差分方程来描述系统的输入-输出关系并设计控制器。该测试在Langley Transonic Dynamics隧道中进行,使用了V-22的无动力1/5比例半跨气动弹性模型,该模型经过修改以合并基于GPC的多输入多输出控制算法,以分别控制三个斜盘执行器。机翼反应用于反馈。基于GPC的控制系统在提高所有测试条件下临界机翼模式的稳定性方面非常有效,而其他模式的阻尼却没有明显降低。该算法在适应转子速度和隧道空速的快速变化方面的性能方面也很强大。

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