多约束无人直升机的定时切换跟踪控制。

IF 6.5 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Haibo Wang, Shuang Shi, Ziyang Zhen, Ju Jiang
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引用次数: 0

摘要

针对具有多约束和复合扰动的六自由度无人直升机,提出了一种基于定时扰动观测器的定时切换跟踪控制方案。所开发的定时控制器保证了系统在一定时间内跟踪所需的轨迹,而不管初始条件如何。多重约束包括输入饱和约束和时变输出约束。采用改进的定时辅助系统补偿输入饱和非线性的影响。通过开发一种新颖的开关边界保护算法,进一步设计了开关控制方案,以更好地解决输出约束问题。提出了一种改进的FTDO算法,用于估计包含饱和函数近似误差和外部干扰的复合干扰。在此基础上,对位置和姿态回路采用定时切换反步控制方法,使UH能够在航迹约束下跟踪期望轨迹。实验结果验证了该方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fixed-time switching tracking control for unmanned helicopter with multiple constraints
In this paper, a fixed-time switching tracking control scheme based on the fixed-time disturbance observer (FTDO) is proposed for a 6-DOF unmanned helicopter (UH) with multiple constraints and composite disturbances. The developed fixed-time controller guarantees that the system tracks the desired trajectory within a certain time, regardless of initial conditions. The multiple constraints include input saturation and time-varying output constraints. An improved fixed-time auxiliary system is applied to compensate for the effects of input saturation nonlinearity. By developing a novel switching boundary protection algorithm, a switching control scheme is further designed to solve the output constraints better. An improved FTDO is developed to estimate composite disturbances containing saturation function approximation errors and external disturbances. On this basis, a fixed-time switching back-stepping control method is employed for the position and attitude loops, which enables the UH to track the desired trajectory within the flight path constraints. The experimental results verify the effectiveness of the proposed scheme.
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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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