Post stall maneuver control of advanced fighter considering the unsteady aerodynamics

Yongxi Lyu, Weiguo Zhang, Jingping Shi, Xiaobo Qu, Jun Che
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引用次数: 1

Abstract

This paper focuses on the problems of unsteady aerodynamic modeling and flight control during post stall maneuver. Firstly, considering serious nonlinearity, coupling and hysteresis of aerodynamic force when advanced fighter aircraft doing post stall maneuver, we propose the strategy of using the extreme learning machine (ELM) method to model the unsteady aerodynamics and using dynamic inversion method to design the control law. Secondly, the angle of attack and sideslip angle and other states variables are obtained and selected as input variables based on wind tunnel test data. And coefficients of aerodynamics force are chosen as output variables. The wind tunnel data is divided into two groups: training samples and testing samples. Then ELM method is used to establish accurate unsteady aerodynamic model. The model accuracy is tested by the determination coefficient based on testing samples, which determines parameters of ELM. Thus problem of ignoring the unsteady aerodynamic in traditional control is avoided. After that, dynamic inversion method and daisy chain distribution method based the control law of advanced fighter are designed, and the alternative formula of reduced frequency is derived. Finally, compared with result of steady aerodynamic modeling, simulations of typical cobra maneuver by unsteady aerodynamics show significance of taking consideration of unsteady aerodynamic effect during the post stall maneuver.
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考虑非定常空气动力学的先进战斗机失速后机动控制
本文主要研究了后失速机动过程中的非定常气动建模和飞行控制问题。首先,针对先进战斗机进行失速后机动时气动力存在严重的非线性、耦合和滞后性问题,提出了采用极限学习机(ELM)方法建立非定常空气动力学模型,并采用动态反演方法设计控制律的策略。其次,根据风洞试验数据,获得迎角、侧滑角等状态变量,并选择其作为输入变量;并选择空气动力系数作为输出变量。风洞数据分为两组:训练样本和测试样本。然后利用ELM方法建立精确的非定常气动模型。通过基于测试样本的确定系数来检验模型的精度,确定ELM的参数。从而避免了传统控制中忽略非定常气动的问题。在此基础上,设计了基于先进战斗机控制律的动态反演方法和菊花链分配方法,并推导了降频替代公式。最后,将非定常气动仿真结果与定常气动建模结果进行了比较,表明了采用非定常气动方法对典型眼镜蛇机动进行仿真时考虑后失速机动非定常气动效应的重要性。
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