固定时间四旋翼轨迹跟踪神经网络反步控制

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI:10.1109/CCDC52312.2021.9602534

Mingyu Wang, Xu Yuan, Bing Chen, Chong Lin, Yun Shang

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引用次数: 0

摘要

本文以四旋翼飞行器的轨迹跟踪为研究对象。提出了一种基于自适应神经控制方法的四旋翼飞行器定时反步控制设计方案。所提出的自适应连续控制器可以保证四旋翼飞行器在给定时间内很好地跟踪期望轨迹，而不受模型不确定性的影响。最后给出了仿真结果，验证了所提控制策略的有效性。

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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Fixed-time quadrotor trajectory tracking neural network backstepping control

This paper aims at the trajectory tracking of a quadrotor. A novel fixed-time backstepping control design scheme is proposed for the quadrotor based on adaptive neural control approach. The suggested adaptive continuous controller ensures that the quadrotor well tracks the desired trajectory in fixed time in spite of appearance of model uncertainties. Finally, simulation results are given to verify the effectiveness of the proposed control strategy.

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2021 33rd Chinese Control and Decision Conference (CCDC)

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