An adaptive aeroelastic control approach using non linear reduced order models
An adaptive aeroelastic control approach using non linear reduced order models
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DOI：
10.2514/6.2014-2590
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发表时间：
2014-06
期刊：
影响因子：
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通讯作者：
N. D. Tantaroudas;A. Ronch;G. Gai;K. Badcock;R. Palacios
中科院分区：
文献类型：
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作者：
N. D. Tantaroudas;A. Ronch;G. Gai;K. Badcock;R. Palacios
介绍了一种系统的方法，用于高保真度耦合的流体/结构/飞行动力学模型的模型降阶和随后的控制设计。它使用耦合系统雅可比矩阵的特征谱信息，并通过级数展开将系统投影到代表全模型动态的特征向量的小基础上。一个非线性降阶模型推导和利用最坏情况下的阵风和自适应控制设计。研究的重点是通过李亚普诺夫稳定性方法的模型参考自适应控制方案的基础上的飞行控制设计。本文的新奇是双重的。首先，它使用一个单一的非线性简化模型的参数最坏情况阵风搜索。其次，它表明，它使一个复杂的控制方法的一个大型非线性系统的实施是可行的。自适应控制器能够减轻阵风载荷的三自由度翼型和无人机。对自适应参数进行了研究，并讨论了它们对控制输入激励和气动弹性闭环响应的影响。
A systematic approach to the model order reduction of high fidelity coupled fluid/structure/flight dynamics models and the subsequent control design is described. It uses information on the eigenspectrum of the coupled-system Jacobian matrix and projects the system through a series expansion onto a small basis of eigenvectors representative of the full-model dynamics. A nonlinear reduced order model is derived and is exploited for a worst case gust and adaptive control design. The investigation focuses on a flight control design based on the model reference adaptive control scheme via the Lyapunov stability approach. The novelty of this paper is two-fold. Firstly, it uses a single nonlinear reduced model for parametric worst case gust search. Secondly, it is shown that it makes feasible an implementation of a complex control methodology for a large nonlinear system. The adaptive controller is able to alleviate gust loads for a three degrees-of-freedom aerofoil and for an unmanned aerial vehicle. An investigation for the adaptation parameters is performed and their effect on control input actuation and aeroelastic closed-loop response is discussed.