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An Optimized Fuzzy Control Algorithm for Three-Dimensional AUV Path Planning

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Abstract

Path planning is an important issue for autonomous underwater vehicle (AUV) underwater mission. In this paper, an optimized fuzzy control algorithm is proposed for three-dimensional (3D) AUV path planning. Based on the sonar model, it can be used for path planning in the complex underwater environment. First, the path planning is established based on the two sonars arranged on the horizontal plane and vertical plane. On the environment information collected by sonars, the virtual acceleration and velocity of AUV in the three-dimensional space can be obtained through the fuzzy system with accelerate/break module which enables AUV to avoid dynamic obstacles automatically. Considering the fuzzy boundary choice has great subjectivity, the generated path cannot guarantee to be optimal. Therefore, in order to deal with this problem, two optimized methods are compared to do the optimization of the fuzzy set. Simulation results indicate that the proposed method can generate an optimal 3D path under three-dimensional underwater environment and can be used in real case in the future.

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Authors and Affiliations

  1. Laboratory of Underwater Vehicles and Intelligent Systems, Shanghai Maritime University, Haigang Avenue 1550, Shanghai, 201306, China

    Bing Sun & Daqi Zhu

  2. The Advanced Robotics and Intelligent Systems Laboratory, School of Engineering, University of Guelph, Guelph, ON, N1G2W1, Canada

    Simon X. Yang

Authors
  1. Bing Sun
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  2. Daqi Zhu
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  3. Simon X. Yang
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Corresponding author

Correspondence to Daqi Zhu.

Additional information

This project is supported by the National Natural Science Foundation of China (61503239, 51575336), and the Creative Activity Plan for Science and Technology Commission of Shanghai (15550722400).

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Sun, B., Zhu, D. & Yang, S.X. An Optimized Fuzzy Control Algorithm for Three-Dimensional AUV Path Planning. Int. J. Fuzzy Syst. 20, 597–610 (2018). https://doi.org/10.1007/s40815-017-0403-1

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  • DOI: https://doi.org/10.1007/s40815-017-0403-1

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