无人水下航行器
反推
内环
控制工程
控制理论(社会学)
车辆动力学
模型预测控制
移动机器人
工程类
遥控水下航行器
控制系统
控制器(灌溉)
水下
计算机科学
机器人
控制(管理)
自适应控制
航空航天工程
人工智能
农学
海洋学
生物
地质学
电气工程
作者
Gong Peng,Hao Zhang,Fengwei Xu,Guangshan Pan,Zheping Yan,Dongjing Zhang
标识
DOI:10.1109/cvci59596.2023.10397284
摘要
With the rapid development of autonomous recycling of unmanned underwater vehicle (UUV), developing new underwater docking solutions to achieve autonomous recycling of parent-child UUV systems has become a hot topic in scientific research. This paper investigates the dynamic docking problem of the parent-child UUV systems. More specifically, a novel dual closed-loop control framework based on model predictive control (MPC) is designed to achieve autonomous docking of UUV. The initial UUV docking control problem is transformed into the design problems of an outer-loop position controller and an inner-loop velocity controller. The design of the inner-loop controller combines the advantages of robust control and backstepping control, and the designed backstepping control law is embedded in the inner-loop controller to address the problems of UUV model parameter uncertainties and external disturbances. Finally, simulation tests verify the effectiveness of the proposed scheme.
科研通智能强力驱动
Strongly Powered by AbleSci AI