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

L. Prabhu, J. Srinivas
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引用次数: 3

Abstract

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.
基于智能观测器的三自由度气动弹性模型鲁棒控制
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。
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