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1 results

  • Vertical Obstacle Avoidance and Navigation of Autonomous Underwater Vehicles with H∞ Controller and the Artificial Potential Field Method

  • Shun-Min Wang, Ming-Chung Fang, Cheng-Neng Hwang
  • Journal:
    The Journal of Navigation / Volume 72 / Issue 1 / January 2019
    Published online by Cambridge University Press:
    20 August 2018, pp. 207-228
    Print publication:
    January 2019

  • An H∞ controller combined with an Artificial Potential Field Method (APFM) was applied to seabed navigation for Autonomous Underwater Vehicles (AUVs), aimed particularly at obstacle avoidance and bottom-following operations in the vertical plane. Depth control and altitude control prevented the AUV from colliding with the sea bottom or with obstacles and prevented the AUV from diving beyond its maximum depth limit when bottom following. Simulation and laboratory trials with various seabed contours indicated that with the H∞ controller, the AUV was able to safely reach appointed destinations without collisions. Tests also showed that the H∞ controller was robust and suppressed interference, hence ensuring the precision of its navigation control. The proposed H∞ controller combined with the APFM has thus been proved to be both feasible and effective.