MULTI-AUV DYNAMIC MANEUVER DECISION-MAKING BASED ON INTUITIONISTIC FUZZY COUNTER-GAME AND FRACTIONAL-ORDER PARTICLE SWARM OPTIMIZATION

Lu Liu, Shuo Zhang, Lichuan Zhang (), Guang Pan () and Chunmei Bai ()
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Lu Liu: Research & Development Institute of Northwestern Polytechnical University, Shenzhen 518057, P. R. China2School of Marine Science and Technology Northwestern, Polytechnical University, Xi’an 710072, P. R. China
Shuo Zhang: School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an 710072, P. R. China
Lichuan Zhang: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, P. R. China
Guang Pan: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, P. R. China
Chunmei Bai: School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, P. R. China

FRACTALS (fractals), 2021, vol. 29, issue 08, 1-13

Abstract: In this paper, a multi-AUV dynamic maneuver decision-making algorithm is studied based on intuitionistic fuzzy game and fractional-order Particle Swarm Optimization (PSO). Because of the weak communication condition and complex marine environment, a maneuver decision-making algorithm is usually hard to realize in real-time multi-AUV couter-game process. First, the weak communication condition is analyzed according to sonar and other equipment characteristics. Then, the multi-AUV maneuver attributes evaluation and maneuver decision-making modeling are investigated under the obtained weak communication constraints. Subsequently, a fractional-order PSO optimization method is proposed to solve the strategy optimization problem of multi-AUV maneuver decision-making process. At last, an example is presented to verify the effectiveness and superiority of the obtained algorithm.

Keywords: Fractional-Order PSO; Multi-AUV; Dynamic Decision-Making; Fuzzy Counter-Game (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1142/S0218348X21400399

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