基于智能观测器的三自由度气动弹性模型鲁棒控制

2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE) Pub Date : 2015-04-30 DOI:10.1109/RACE.2015.7097251

L. Prabhu, J. Srinivas

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引用次数: 3

摘要

采用数值方法研究了飞机在俯仰、俯冲和襟翼运动作用下的气动弹性模型的失稳问题。模型不受控制的反应在本质上是非常危险和灾难性的。为了控制动力学，线性二次型调节器(LQR)是一种反馈控制方法，与神经网络作为状态观测器结合使用，以估计参数来控制模型。对比传统的LQR控制，研究了该控制器的性能。在颤振区域附近进行了时域模拟。结果以图表的形式显示出来。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Robust control of a three degrees of freedom aeroelastic model using an intelligent observer

A numerical investigation of instability of an aeroelastic model subjected to an external disturbance is carried out with pitch, plunge and flap motions. The uncontrolled response of a model is very dangerous and catastrophic in nature. To control the dynamics, the linear quadratic regulator (LQR) a form of feedback control methodology is used in conjunction with a neural network as a state-observer to estimate the parameters to control the model. The controller performance is studied against the conventional LQR control. Time-domain simulations are conducted near the flutter regions. Results are shown in the form of graphs and tables.

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来源期刊

2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE)

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