Data-Driven Approach for Parameter Estimation and Control of an Autonomous Underwater Vehicle

IF 17.7 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-06-06 DOI:10.4274/jems.2024.10438
Tabassum Rasul, Koena Mukherjee
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Abstract

This paper showcases a data-driven non-linear adaptive controller design employing an unfalsification approach to attain optimal estimates for unknown parameters in an autonomous underwater vehicle (AUV). These estimates are applied to the controller to enable precise trajectory tracking. The controller design presented is capable of adapting to parametric changes and uncertainties while fulfilling the desired performance criteria using an effective parameter update method of unfalsification. The results were validated through simulations conducted using MATLAB/SIMULINK
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自主潜水器参数估计和控制的数据驱动方法
本文展示了一种数据驱动的非线性自适应控制器设计,该设计采用了一种非证伪方法,以获得自主潜水器(AUV)中未知参数的最佳估计值。这些估计值应用于控制器,以实现精确的轨迹跟踪。所介绍的控制器设计能够适应参数变化和不确定性,同时利用有效的参数更新方法实现所需的性能标准。使用 MATLAB/SIMULINK 进行的仿真验证了这一结果。
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
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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