控制理论(社会学)
整体滑动模态
滑模控制
多输入多输出
水下
国家观察员
李雅普诺夫函数
观察员(物理)
自适应控制
控制器(灌溉)
机器人
计算机科学
控制工程
工程类
非线性系统
控制(管理)
人工智能
物理
海洋学
量子力学
地质学
计算机网络
频道(广播)
农学
生物
作者
Rongxin Cui,Lepeng Chen,Chenguang Yang,Mou Chen
出处
期刊:IEEE Transactions on Industrial Electronics
[Institute of Electrical and Electronics Engineers]
日期:2017-04-17
卷期号:64 (8): 6785-6795
被引量:478
标识
DOI:10.1109/tie.2017.2694410
摘要
This paper develops a novel integral sliding mode controller (ISMC) for a general type of underwater robots based on multiple-input and multiple-output extended-state-observer (MIMO-ESO). The difficulties associated with the unmeasured velocities, unknown disturbances, and uncertain hydrodynamics of the robot have been successfully solved in the control design. An adaptive MIMO-ESO is designed not only to estimate the unmeasurable linear and angular velocities, but also to estimate the unknown external disturbances. An ISMC is then designed using Lyapunov synthesis, and an adaptive gain update algorithm is introduced to estimate the upper bound of the uncertainties. Rigorous theoretical analysis is performed to show that the proposed control method is able to achieve asymptotical tracking performance for the underwater robot. Experimental studies are also carried out to validate the effectiveness of the proposed control, and to show that the proposed approach performs better than a conventional potential difference (PD) control approach.
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