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September 5, 2025Optimal Control Applications and Methods

Improved Model Predictive Control With Dung Beetle Optimizer for Depth Tracking of Autonomous Underwater Vehicles

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Authors

XLXiangxiang LiuBSBing SunWGWenyang Gan

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Overview

Analysis reveals improved depth tracking in AUVs using model predictive control and dung beetle optimization, indicating heightened control accuracy.

Key Points

  • The DBO‐MPC method significantly improves depth tracking performance in AUVs, enhancing motion control accuracy.
  • Simulation results show that DBO‐MPC outperforms classical methods, reducing velocity jumps and optimizing control.
  • The proposed approach effectively addresses depth tracking challenges, demonstrating a robust optimization strategy.
  • Findings underscore the feasibility of DBO‐MPC for real-world applications in underwater vehicle navigation.

Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/68bb3ee82b87ece8dc95718ahttps://doi.org/10.1002/oca.70027
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