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Dynamic surface control design of post-stall maneuver under unsteady aerodynamics

机译:非定常空气动力学下失速机动的动态表面控制设计

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This paper presents an efficient method that overcomes the problem of the control design of the post stall maneuver under unsteady aerodynamics. On the basis of adequate data of the large amplitude oscillation experiment device in wind tunnel test, the unsteady aerodynamics model with nonlinearity, coupling and hysteresis is established by the improved Extreme Learning Machine (ELM) method. Considering the nonlinearity of the longitudinal model of the advanced fighter and the aerodynamics characteristics of the post-stall maneuver, the control law under large attack angle is designed combining the backstepping method and the daisy chain allocation method. The first order filter is adopted to prevent the "differential explosion" problem. The designed control allocation law guarantees that the conventional surfaces and the vector nozzle deflect coordinately within the position limits and the rate limits. The Radial Basis Function (RBF) network is applied to model the uncertainty, and the stability of the proposed control law which considering the uncertainty is also proved. Digital simulations of the typical "Cobra" maneuver under the unsteady aerodynamics are completed with comparisons under different conditions. Simulations results verify the validity of the proposed control law under unsteady aerodynamics and the aerodynamics uncertainty. (C) 2018 Elsevier Masson SAS. All rights reserved.
机译:本文提出了一种有效的方法,该方法克服了非定常空气动力学条件下的后失速机动控制设计问题。基于风洞试验中大振幅振荡实验装置的足够数据,通过改进的极限学习机(ELM)方法建立了具有非线性,耦合和滞后的非定常空气动力学模型。考虑到先进战斗机纵向模型的非线性和后失速机动的空气动力学特性,结合后推法和菊花链分配法设计了大迎角下的控制律。采用一阶滤波器来防止“差异爆炸”问题。设计的控制分配法则保证常规表面和矢量喷嘴在位置限制和速率限制内协调偏转。应用径向基函数网络对不确定性进行建模,并证明了考虑不确定性的控制律的稳定性。通过在不同条件下进行比较,完成了不稳定空气动力学条件下典型“眼镜蛇”机动的数字模拟。仿真结果验证了拟定控制律在非定常空气动力学和空气动力学不确定性下的有效性。 (C)2018 Elsevier Masson SAS。版权所有。

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