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This paper proposes the development of a formation control algorithm of multiple acoustic underwater vehicles by employing the behaviour of autonomous mobile agents under a proposed pursuit. A robust pursuit is developed using the distributed consensus coordinated algorithm ensuring the transfer of information among the AUVs. The development of robust pursuit based on characteristics of multi-agent system is for solving the incomplete information capabilities in each agent such as asynchronous computation, decentralized data and no system global control. In unreliable and narrow banded underwater acoustic medium, the formation of AUVs based distributed coordinated consensus tracking can be accomplished under the constant or varying virtual leader’s velocity. Further, the study to achieve tracking based on virtual leader AUV’s velocity is extended to fixed and switching network topologies. Again for mild connectivity, an adjacency matrix is defined in such a way that an adaptive connectivity is ensured between the AUVs. The constant virtual leader vehicle velocity method based on consensus tracking is more robust to reduce inaccuracy because no accurate position and velocity measurements are required. Results were obtained using MATLAB and acquired outcomes are analysed for efficient formation control in presence of the underwater communication constraints.
Czasopismo
Rocznik
Tom
Strony
365--384
Opis fizyczny
Bibliogr. 39 poz., rys., tab., wykr., wzory
Twórcy
autor
- Department of Electronics & Telecommunication Engineering, VSS University of Technology, Burla-768018, Odisha, India
autor
- School of Electrical Sciences, Indian Institute of Technology, Goa, India
autor
- Department of Electronics & Telecommunication Engineering, VSS University of Technology, Burla-768018, Odisha, India
Bibliografia
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- [7] E. Yang and D. Gu: Nonlinear formation-keeping and mooring control of multiple autonomous underwater vehicles, IEEE/ASME Trans. Mechatronics, 12(2) (2007), 164-178.
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- [18] B. Das, B. Subudhi, and B. B. Pati: Co-operative control coordination of a team of underwater vehicles with communication constraints, Transactions of the Institute of Measurement and Control, 3(4) (2016), 463-481.
- [19] D. Gu and H. Hu: Using fuzzy logic to design separation function in flocking algorithms, IEEE Trans. Fuzzy Syst., 2008, 16(4), pp. 826-838.
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- [36] B. Das, B. Subudhi, and B. B. Pati: Employing Nonlinear observer for formation control of AUVs under communication constraints, Int. J. Intell. Unmanned Syst., 3(2/3) (May 2015), 122-155.
- [37] L. Ding, Q. Han, and G. Guo: Network-based leader-following consensus for distributed multi-agent systems, Automatica, 49(7) (2013), 2281-2286.
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- [39] C. J. F. Silvestre: Multi-Objective Optimization Theory with Applications to the Integrated Design of Controllers/Plants for Autonomous Vehicles, Ph. D Thesis, Technical Institute of Lisbon, Jun. 2000.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-faf6f156-e1ca-44f5-93da-6e8ecc712343