Abstract

In this paper, a hybrid realization model is proposed for the controllers of autonomous underwater vehicles (AUVs). This model is based on the model-based systems engineering (MBSE) methodology, in combination with the model-driven architecture (MDA), the real-time unified modeling language (UML)/systems modeling language (SysML), the extended/unscented Kalman filter (EKF/UKF) algorithms, and hybrid automata, and it can be reused for designing controllers of various AUV types. The dynamic model and control structure of AUVs were combined with the specialization of MDA concepts as follows. The computation-independent model (CIM) was specified by the use-case model combined with the EKF/UKF algorithms and hybrid automata to intensively gather the control requirements. Then, the platform-independent model (PIM) was specialized using the real-time UML/SysML to design the capsule collaboration of control and its connections. The detailed PIM was subsequently converted into the platform-specific model (PSM) using open-source platforms to promptly realize the AUV controller. On the basis of the proposed hybrid model, a planar trajectory-tracking controller, which allows a miniature torpedo-shaped AUV to autonomously track the desired planar trajectory, was implemented and evaluated, and shown to have good feasibility.

Highlights

  • Underwater vehicles have been extensively developed for many military applications in recent decades

  • The autonomous underwater vehicles (AUVs) controller can consist of discrete models, continuous models, and their interaction in a hybrid dynamic system (HDS), as modeled by hybrid automata (HA) [12,13,14,15]

  • HDSs whose dynamic behaviors can be described in [13,14,15], AUV controllers can, be considered HDSs whose dynamic behaviors can modeled by HA

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Summary

A MBSE Application to Controllers of Autonomous

School of Transportation Engineering, Hanoi University of Science and Technology, Hanoi 10000, Vietnam College of Systems Engineering and Science, Shibaura Institute of Technology, Tokyo 135-8548, Japan School of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi 10000, Vietnam Received: 30 September 2020; Accepted: 21 November 2020; Published: 23 November 2020

Introduction
AUV Dynamic Model for Controlling
General Control Architecture for for an an AUV
Autonomy
CIM for an AUV Controller
Section 4.
PIM for an AUV Controller
Collaboration
PSM for an AUV Controller
Physical Application Configurations
Results
Conclusions and Future Work
Full Text
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