具有避障功能的多四旋翼飞行器的鲁棒分布式固定时间合作狩猎控制。

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS ISA transactions Pub Date : 2024-08-01 DOI:10.1016/j.isatra.2024.05.048
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引用次数: 0

摘要

本文探讨了多架四旋翼飞行器在障碍物环境干扰下的鲁棒分布式定时协同狩猎问题。为了处理四旋翼飞行器动力学中固有的欠驱动问题,本文提出了一种内-外(姿态-位置)环级联控制配置,以实现四旋翼飞行器的协同飞行控制。在位置子系统中,由于所有四旋翼飞行器都无法获得目标信息,因此设计了分布式固定时间观测器来估计目标信息。为了提高系统的鲁棒性,设计了一个固定时间扩展状态观测器来主动拒绝干扰。在两个观测器的基础上,提出了带有排斥力的滑动模式位置包围控制协议,以避开障碍物并在固定时间内包围目标。对于姿态子系统,提出了一种滑动模式姿态跟踪控制协议,即使在干扰情况下,跟踪误差也能趋近于零。稳定性分析表明,整个闭环系统在固定时间内收敛稳定。最后,提供了两组对比仿真,以显示所开发控制策略的优越性。
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Robust distributed fixed-time cooperative hunting control for multi-quadrotor with obstacles avoidance

This paper addressed the robust distributed fixed-time cooperative hunting problem of multiple quadrotors subject to disturbances in obstacles environment. To handle the underactuated issue inherent in quadrotor dynamics, an inner–outer (attitude-position) loop cascade control configuration is proposed to achieve the cooperative flight control of quadrotors. For position subsystem, as the information of target cannot be accessible to all quadrotors, a distributed fixed-time observer is devised to estimate the target’s information. To improve the system’s robustness, a fixed-time extended state observer is designed to reject disturbances actively. Based on two observers, the sliding mode position encirclement control protocol with repulsive force is presented to avoid obstacles and encircle the target within a fixed time. For attitude subsystem, a sliding mode attitude tracking control protocol is proposed such that tracking errors can converge to zero even under disturbances. The stability analysis is performed to show the stabilization of the whole closed-loop system with fixed-time convergence. Finally, two sets of comparison simulation are provided to show the superiority of the developed control strategy.

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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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