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Extended State Observer-Based Integral Sliding Mode Control for an Underwater Robot With Unknown Disturbances and Uncertain Nonlinearities

机译:具有未知扰动和不确定非线性的水下机器人基于扩展状态观测器的整体滑模控制

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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.
机译:本文基于多输入多输出扩展状态观测器(MIMO-ESO),针对通用水下机器人开发了一种新型的集成滑模控制器(ISMC)。在控制设计中已成功解决了与机器人无法测得的速度,未知的干扰以及不确定的流体动力学相关的难题。自适应MIMO-ESO不仅用于估算不可测的线性和角速度,而且用于估算未知的外部干扰。然后使用Lyapunov合成设计ISMC,并引入自适应增益更新算法来估计不确定性的上限。进行了严格的理论分析,表明所提出的控制方法能够实现水下机器人的渐近跟踪性能。还进行了实验研究以验证所提出的控制的有效性,并表明所提出的方法比常规的电势差(PD)控制方法表现更好。

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