An OOSEM-Based Design Pattern for the Development of AUV Controllers

Author:

Sang Cao Duc1,He Ngo Van2ORCID,Hien Ngo Van2ORCID,Khuyen Nguyen Trong1

Affiliation:

1. Control, Automation in Production and Improvement of Technology Institute, Hanoi 100000, Vietnam

2. School of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi 100000, Vietnam

Abstract

This article introduces a new design pattern that provides an optimal solution for the systematic development of AUV controllers. In this study, a hybrid control model is designed on the basis of the OOSEM (Object-Oriented Systems Engineering Method), combined with MDA (Model-Driven Architecture) concepts, real-time UML/SysML (Unified Modeling Language/Systems Modeling Language), and the UKF (unscented Kalman filter) algorithm. This hybrid model enables the implementation of the control elements of autonomous underwater vehicles (AUVs), which are considered HDSs (hybrid dynamic systems), and it can be adapted for reuse for most standard AUV platforms. To achieve this goal, a dynamic AUV model is integrated with the specializations of the OOSEM/MDA, in which an analysis model is clarified via a use-case model definition and then combined with HA (hybrid automata) to precisely define the control requirements. Next, the designed model is tailored via real-time UML/SysML to obtain the core control blocks, which describe the behaviors and structures of the control parts in detail. This design model is then transformed into an implementation model with the assistance of round-trip engineering to conveniently realize a controller for AUVs. Based on this new model, a feasible AUV controller for low-cost, turtle-shaped AUVs is implemented, and it is utilized to perform planar trajectory tracking.

Funder

Vietnam Ministry of Education and Training

Publisher

MDPI AG

Reference51 articles.

1. Underwater manipulators: A review;Coleman;Ocean Eng.,2018

2. Underwater Robots: From Remotely Operated Vehicles to Intervention-Autonomous Underwater Vehicles;Petillot;IEEE Robot. Autom. Mag.,2019

3. Integrated navigation for autonomous underwater vehicles in aquaculture: A review;Bao;Inf. Process. Agric.,2020

4. AUVAC (2022, February 01). Autonomous Undersea Vehicles Applications Center. Available online: https://auvac.org/.

5. What’s Decidable about Hybrid Automata?;Henzinger;J. Comput. Syst. Sci.,1998

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3