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基于固定时间干扰观测器的空中机器人非奇异终端滑模控制(飞行器安全控制专栏)

赵静1,潘龙1,陆宁云2,黄海云1,马亚杰3,徐丰羽1   

  1. 1. 南京邮电大学
    2. 南京航空航天大学
    3. 南京航空航天大学自动化学院
  • 收稿日期:2025-05-22 修回日期:2025-11-07 出版日期:2025-11-10 发布日期:2025-11-10
  • 通讯作者: 赵静
  • 基金资助:
    直升机动力学全国重点实验室基金;航空航天结构力学及控制全国重点实验室

A novel nonsingular terminal sliding mode control for aerial robot based on fixed-time disturbance observer

  • Received:2025-05-22 Revised:2025-11-07 Online:2025-11-10 Published:2025-11-10
  • Supported by:
    National Key Laboratory Foundation of Helicopter Aeromechanics;State Key Laboratory of Aerospace Structural Mechanics and Control

摘要: 针对复合扰动下空中机器人的高精度轨迹跟踪控制问题,本文提出一种基于固定时间干扰观测器的滑模控制策略。首先,考虑目标抓取后重心偏移与紊流风场耦合因素,采用牛顿-欧拉公式建立六自由度动力学模型,进而设计固定时间收敛的复合干扰观测器进行扰动估计。其次,针对位置控制子系统,设计基于新型趋近律的非奇异快速终端滑模控制器,可以有效避免系统陷入奇异状态,同时提升系统的动态响应性能;针对姿态控制子系统,提出融合积分反步法的混合控制策略,能够增强系统鲁棒性以应对外部干扰。最后,经过仿真对比验证所提方法的有效性。

关键词: 固定时间干扰观测器, 非奇异快速终端滑模, 抗扰控制, 重心偏移, 空中机器人

Abstract: In this paper, we propose a sliding mode control strategy based on a fixed-time disturbance observer to address the high-precision trajectory tracking control problem for air robots under compound disturbances. First, considering the coupled effects of centroid offset after target grasping and turbulent wind fields, we establish a six-degree-of-freedom dynamic model using the Newton-Euler formula and design a fixed-time convergent compound disturb-ance observer for disturbance estimation. Second, for the position control subsystem, a nonsingular fast terminal sliding mode controller based on a novel reaching law is designed, which can effectively avoid the system falling into a singular state while enhancing the system's dynamic response performance; for the attitude control subsys-tem, a hybrid control strategy integrating integral backstepping is proposed to improve the system's robustness against external disturbances. Finally, simulation comparisons are conducted to validate the effectiveness of the proposed approach.

Key words: fixed-time disturbance observer, nonsingular fast terminal sliding mode control, anti-disturbance control, barycentric offset, aerial robots

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