A hybrid tracking control strategy for an unmanned underwater vehicle aided with bioinspired neural dynamics

Abstract Tracking control has been a vital research topic in robotics. This paper presents a novel hybrid control strategy for an unmanned underwater vehicle (UUV) based on a bioinspired neural dynamics model. An enhanced backstepping kinematic control strategy is first developed to avoid sharp velo...

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Bibliographic Details
Main Authors: Zhe Xu, Tao Yan, Simon X. Yang, S. Andrew Gadsden
Format: Article
Language:English
Published: Wiley 2022-09-01
Series:IET Cyber-systems and Robotics
Subjects:
Online Access:https://doi.org/10.1049/csy2.12060
Description
Summary:Abstract Tracking control has been a vital research topic in robotics. This paper presents a novel hybrid control strategy for an unmanned underwater vehicle (UUV) based on a bioinspired neural dynamics model. An enhanced backstepping kinematic control strategy is first developed to avoid sharp velocity jumps and provides smooth velocity commands relative to conventional methods. Then, a novel sliding mode control is proposed, which is capable of providing smooth and continuous torque commands free from chattering. In comparative studies, the proposed combined hybrid control strategy has ensured control signal smoothness, which is critical in real‐world applications, especially for a UUV that needs to operate in complex underwater environments.
ISSN:2631-6315