Decoupled Incremental Nonlinear Dynamic Inversion Control for Aircraft Spin Recovery

IF 5.7 2区 计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2024-10-31 DOI:10.1109/TAES.2024.3485604
Salahudden Salahudden
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Abstract

Obtaining information about the aircraft's dynamics while spinning is extremely difficult, especially at high angles of attack. Due to the complex nature of such a viable problem and unknown model restricts the applicability of model dependent control law for spin recovery. This article presents an incremental nonlinear dynamic inversion (INDI)-based control law for spin recovery and addresses the dependency control law problem. The primary contribution of this article is to arrest an aircraft's spin motion by reducing its reliance on aerodynamic derivatives. Furthermore, the cross-couple aerodynamic derivative problem is addressed by decoupling the designed INDI control law. The controller efficacy is tested on F 18 High Alpha Research Vehicle and according to simulation results, even in the presence of wind, INDI guarantees a safe spin-out. By altering the control effectiveness matrix, Monte Carlo simulation is used to assess the robustness of the INDI. The validation process culminates with a comparison between the spin recovery profile derived from the INDI control and an earlier spin recovery article.
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用于飞机自旋恢复的解耦增量非线性动态反演控制
获取飞机在旋转时的动力学信息是极其困难的,尤其是在大攻角时。由于这类可行问题的复杂性和未知模型限制了模型依赖控制律对自旋恢复的适用性。提出了一种基于增量非线性动态反演(INDI)的自旋恢复控制律,并解决了依赖控制律问题。本文的主要贡献是通过减少对空气动力学导数的依赖来阻止飞机的旋转运动。此外,通过对设计的INDI控制律进行解耦,解决了交叉耦合气动导数问题。在F - 18高阿尔法研究车上进行了控制器效能测试,仿真结果表明,即使在有风的情况下,INDI也能保证安全的转出。通过改变控制有效性矩阵,采用蒙特卡罗仿真方法评估了INDI的鲁棒性。验证过程以比较从INDI控件导出的自旋恢复配置文件和较早的自旋恢复文章而告终。
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来源期刊
CiteScore
7.80
自引率
13.60%
发文量
433
审稿时长
8.7 months
期刊介绍: IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.
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