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Robust Self-Adjustable Path-Tracking Control for Autonomous Underwater Vehicle

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Abstract

The purpose of this study is to design a supervisory two-level controller for an autonomous underwater vehicle path following problem despite the underwater uncertain operation conditions and external measurement noises. For the controller description, the surge degree of freedom dynamic model is linearized using feedback linearization technique and then a fuzzy PID tracking control law is sketched. To illustrate the robust tracking performance of the controller, the proposed control law is compared with a conventional PID controller. The results show improvement in the tracking error in the presence of noise and dynamic model parameter perturbation. The main reason behind the ability of the supervisory controller in handling the uncertainties is the auto-adjustment ability of PID gains when faced with real-time situations.

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Authors and Affiliations

  1. Faculty of Electrical and Computer Engineering, Department of Electrical Engineering, Quchan University of Technology, Quchan, Iran

    Nadia Zendehdel & Mehdi Gholami

Authors
  1. Nadia Zendehdel
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  2. Mehdi Gholami
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by MG and the control law was designed by NZ. The first draft of the manuscript was written by NZ and all authors commented on previous versions of the manuscript. Both authors read and approved the final manuscript.

Corresponding author

Correspondence to Nadia Zendehdel.

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The authors declare no conflict of interest.

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Zendehdel, N., Gholami, M. Robust Self-Adjustable Path-Tracking Control for Autonomous Underwater Vehicle. Int. J. Fuzzy Syst. 23, 216–227 (2021). https://doi.org/10.1007/s40815-020-00939-1

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  • DOI: https://doi.org/10.1007/s40815-020-00939-1

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