Prescribed Performance Evolution Control for Quadrotor Autonomous Shipboard Landing

IF 15.3 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Ieee-Caa Journal of Automatica Sinica Pub Date : 2024-04-15 DOI:10.1109/JAS.2024.124254
Yang Yuan;Haibin Duan;Zhigang Zeng
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Abstract

The shipboard landing problem for a quadrotor is addressed in this paper, where the ship trajectory tracking control issue is transformed into a stabilization control issue by building a relative position model. To guarantee both transient performance and steady-state landing error, a prescribed performance evolution control (PPEC) method is developed for the relative position control. In addition, a novel compensation system is proposed to expand the performance boundaries when the input saturation occurs and the error exceeds the predefined threshold. Considering the wind and wave on the relative position model, an adaptive sliding mode observer (ASMO) is designed for the disturbance with unknown upper bound. Based on the dynamic surface control framework, a shipboard landing controller integrating PPEC and ASMO is established for the quadrotor, and the relative position control error is guaranteed to be uniformly ultimately bounded. Simulation results have verified the feasibility and effectiveness of the proposed shipboard landing control scheme.
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用于四旋翼机器人自主舰载着陆的规定性能演化控制
本文探讨了四旋翼飞行器的舰载着陆问题,通过建立相对位置模型,将舰船轨迹跟踪控制问题转化为稳定控制问题。为保证瞬态性能和稳态着陆误差,针对相对位置控制开发了一种规定性能演化控制(PPEC)方法。此外,还提出了一种新型补偿系统,用于在输入饱和且误差超过预定阈值时扩展性能边界。考虑到风浪对相对位置模型的影响,设计了一种自适应滑模观测器(ASMO),用于处理上界未知的扰动。基于动态表面控制框架,为四旋翼飞行器建立了一个集成 PPEC 和 ASMO 的舰载着陆控制器,并保证相对位置控制误差为均匀终界。仿真结果验证了所提船载着陆控制方案的可行性和有效性。
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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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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