Preprint Technical Note Version 1 Preserved in Portico This version is not peer-reviewed

Optimality Comparison of Object Safe Trajectory in a Multi-Object Passing Situation for Different Quantities of Acceptable Game and Non-Game Control Strategies

Version 1 : Received: 18 June 2023 / Approved: 19 June 2023 / Online: 19 June 2023 (05:27:51 CEST)

How to cite: Lisowski, J. Optimality Comparison of Object Safe Trajectory in a Multi-Object Passing Situation for Different Quantities of Acceptable Game and Non-Game Control Strategies. Preprints 2023, 2023061300. https://doi.org/10.20944/preprints202306.1300.v1 Lisowski, J. Optimality Comparison of Object Safe Trajectory in a Multi-Object Passing Situation for Different Quantities of Acceptable Game and Non-Game Control Strategies. Preprints 2023, 2023061300. https://doi.org/10.20944/preprints202306.1300.v1

Abstract

This paper presents an analysis of the sensitivity of controlling an autonomous surface object among a group of encountered objects to the inaccuracy of state control process data. For this purpose, a safe and optimal model of the control process was defined. An algorithm for determining the optimal and safe trajectory of an object, based on the multi-object game model, was developed; for comparative analysis, an algorithm for calculating only the optimal trajectory, not taking into account the maneuverability of other objects, was additionally developed. First, simulation-based studies of the algorithms enabled a comparative analysis of a number of different acceptable strategies for optimally shifting the trajectory of maneuvering objects from a single initial direction. Thereafter, the main goal of this paper was implemented: an analysis of the sensitivity characteristics of safe control, assessed with the risk of collision, both on the inaccuracy of navigation data and on the number of possible control strategies. Finally, final conclusions and a plan for further research on the subject of the paper were formulated.

Keywords

maritime autonomous surface ships; remote sensing; optimal control; game control; computer simulation

Subject

Engineering, Control and Systems Engineering

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