DEVELOPMENT OF BASIC APPROACHES TO ORGANIZING SOFTWARE FOR AUTONOMOUS UNDERWATER VEHICLES FOR SOLVING SURVEY TASKS

https://doi.org/10.33815/2313-4763.2023.1-2.26-27.017-028

Keywords: autonomous underwater vehicles, behavioural architecture, hierarchical architecture, hybrid architecture, coordination, conflicts, reliability, agents

Abstract

The aim of the article is to enhance the efficiency of surveying the ocean depths and performing various underwater operations by utilizing advanced mathematical frameworks in autonomous underwater vehicles. The article discusses the challenges in developing a control system for autonomous underwater vehicles, noting that existing control systems are primarily designed for search-based tasks, while these vehicles can be used for more complex operations such as surveying. To successfully address these tasks, autonomous underwater vehicles require a flexible control system capable of adapting to new tasks and data from onboard sensors. The article proposes a new architecture for the mathematical framework of the control system, integrating both hierarchical and behavioral control structures. This significantly expands the capabilities of these vehicles, enabling them to tackle diverse tasks within the constraints of computational resources onboard. Within this proposed architecture, a behavioral approach is employed across different functional hierarchical levels of the control system. Notably, executive-level control structures maintain a constant composition, while variable structures are formed at the tactical level based on a developed library of agents, allowing for easy functionality expansion as new tasks and hardware emerge. The article justifies an approach for constructing a library of tactical-level agents based on the functional decomposition of the target task class. The actions of the agents forming the library are established, providing the groundwork for creating declarative missions. Furthermore, a researched agent structure containing a local environmental model, action planning tools based on this model, and an analysis of utilized information to determine agent operability is developed and investigated. This developed control system structure could be further proposed for testing on autonomous underwater vehicles.

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Published
2023-12-25