ADRC and GA Algorithm for Fixed-Wing UAV

Dali Zhou, Qingbo Geng, Baokui Li
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引用次数: 2

Abstract

This paper puts forward active disturbance rejection control (ADRC) technology in the application of unmanned aerial vehicle (UAV). In order to solve the parameters optimization problem of ADRC, genetic algorithm (GA) is proposed, which does not depend on the experience of human heavily. Whose basic principle is introduced in this paper as well, then it improves the efficiency of parameters optimization. Disturbance is added to the state of flight to reflect the anti-interference ability of this combined algorithm. Finally, the simulation of F16 model is carried out to verify that the improved method has good control preference.
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固定翼无人机的自抗扰和遗传算法
提出了自抗扰控制(ADRC)技术在无人机中的应用。为了解决自抗扰控制器的参数优化问题,提出了一种不太依赖人的经验的遗传算法。本文还介绍了其基本原理,从而提高了参数优化的效率。在飞行状态中加入干扰,以体现该组合算法的抗干扰能力。最后对F16模型进行了仿真,验证了改进方法具有良好的控制偏好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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