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Model-Predictive Control of Flexible Aircraft using Nonlinear Reduced-Order Models

机译:基于非线性降阶模型的柔性飞机模型预测控制

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摘要

© 2016, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.This paper introduces an optimization-based load control strategy suitable for flexible vehicles with very flexible wings. A model for the coupled flight dynamics/aeroelastic response of the vehicle is built from geometrically-nonlinear beams using an intrinsic de- scription and a simple linear 2-D unsteady aerodynamic with no spanwise couplings. The resulting model has only quadratic nonlinearities and a balanced projection of the dynamic equations is then practicable and results in a much smaller model that retains the relevant nonlinear couplings. This is finally used to drive a model-predictive control designed to suppress wing oscillations in the response to atmospheric gusts. Results are presented on high-aspect-ratio flying wing undergoing moderately large excursions in the presence of discrete gusts. They demonstrate the performance of the nonlinear MPC in comparison to equivalent linear control schemes.
机译:©2016,美国航空航天学会,AIAA。保留所有权利。本文介绍了一种基于优化的负荷控制策略,适用于机翼非常灵活的柔性车辆。车辆的飞行动力学/气动弹性响应的耦合模型是使用固有描述和简单的线性二维非定常空气动力学(无翼展方向耦合)从几何非线性梁中建立的。所得的模型仅具有二次非线性,然后可以对动力学方程进行平衡投影,从而得到一个保留相关非线性耦合的小得多的模型。最终将其用于驱动模型预测控制,该控制旨在抑制机翼对大气阵风的响应而产生的振荡。结果显示了高纵横比的机翼在阵风不连续的情况下经历了中等大的偏移。他们证明了与等效线性控制方案相比,非线性MPC的性能。

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