控制理论(社会学)
稳健性(进化)
弹道
计算机科学
趋同(经济学)
观察员(物理)
跟踪(教育)
控制器(灌溉)
水下
跟踪误差
控制工程
工程类
控制(管理)
人工智能
物理
化学
经济
海洋学
地质学
天文
基因
生物
量子力学
生物化学
经济增长
教育学
心理学
农学
作者
Jiaqi Zheng,Lei Song,Lingya Liu,Wenbin Yu,Shanying Zhu,Yiyin Wang,Cailian Chen
摘要
Abstract In this paper, we investigate the trajectory tracking control problem for autonomous underwater vehicles (AUVs) with time‐varying external disturbances of currents and waves in the sea. To solve the problem, a fixed‐time extended state observer (FTESO)‐based tracking controller is proposed. Firstly, by using the extended state observer, the FTESO is proposed for estimating the external disturbances and the velocities of the AUV within the fixed convergence time. Based on the FTESO, the fixed‐time controller is proposed for reducing the tracking errors and improving robustness performance. Theoretical analysis is given, which shows that the unknown external disturbances can be compensated and tracking error can converge to zero within the fixed time. Simulation results show that the proposed FTESO controller not only guarantees the fixed‐time convergence but also reduces the trajectory tracking errors of the AUV.
科研通智能强力驱动
Strongly Powered by AbleSci AI