This article studies the high angle of attack (AOA) maneuver control based on an improved prescribed performance method, that is, switched prescribed performance control (SPP). Different from traditional prescribed performance control, multiple performance functions are considered in the SPP, which can appropriately adjust the output performance constraints. Furthermore, based on the SPP, an adjustable prescribed performance (APP) control method is developed, which requires only a continuous adjustable performance function. Then, based on the proposed APP and adaptive neural network (NN) technology, a robust adaptive NN flight control law is developed. To handle the input saturation, an improved auxiliary system is developed. According to the common Lyapunov function method, it can be concluded that the closed‐loop system is stable and the system output can meet the corresponding prescribed performance. Finally, simulations are given to illustrate the validity of the high AOA flight control law based on the proposed APP.

中文翻译：

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基于切换规定性能的高攻角飞行控制

本文研究了基于改进的规定性能方法（即切换规定性能控制（SPP））的高攻角（AOA）机动控制。与传统的规定性能控制不同，SPP中考虑了多个性能功能，可以适当地调整输出性能约束。此外，基于SPP，开发了可调节的规定性能（APP）控制方法，该方法仅需要连续的可调节性能。然后，基于提出的APP和自适应神经网络技术，开发了一种鲁棒的自适应NN飞行控制律。为了处理输入饱和，开发了一种改进的辅助系统。根据常见的Lyapunov函数方法，可以得出结论，闭环系统是稳定的，并且系统输出可以满足相应的规定性能。最后，基于所提出的APP进行了仿真，以说明高AOA飞行控制律的有效性。