Next Article in Journal
Enhanced Trajectory Tracking via Disturbance-Observer-Based Modified Sliding Mode Control
Next Article in Special Issue
Disturbance Observer-Based Robust Take-Off Control for a Semi-Submersible Permeable Slender Hybrid Unmanned Aerial Underwater Quadrotor
Previous Article in Journal
Amplitude and Phase Information Interaction for Speech Enhancement Method
Previous Article in Special Issue
Research on the Control Problem of Autonomous Underwater Vehicles Based on Strongly Coupled Radial Basis Function Conditions
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Adaptive Finite-Time Trajectory Tracking Control for Coaxial HAUVs Facing Uncertainties and Unknown Environmental Disturbances

1
Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin 150001, China
2
Aerospace Technology Institute, China Aerodynamics Research and Development Center, Mianyang 621000, China
3
Cross-Media Vehicle Research Center, China Aerodynamics Research and Development Center, Mianyang 621000, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(14), 8026; https://doi.org/10.3390/app13148026
Submission received: 3 June 2023 / Revised: 24 June 2023 / Accepted: 29 June 2023 / Published: 9 July 2023
(This article belongs to the Special Issue Design and Implementation of Underwater Vehicles)

Abstract

In this paper, the problems of system design, dynamic modeling, and trajectory tracking control of coaxial hybrid aerial underwater vehicles (HAUVs) with time-varying model parameters and composite marine environment disturbances are investigated. It is clear that a stable transition between different media remains a challenge in the practical implementation of amphibious tasks. For HAUVs, accurate dynamic modeling to describe complex dynamic variations during vehicle takeoff from underwater to air is a huge challenge. Meanwhile, due to the rapid changes in model parameters and the external environment, vehicles are likely to fall into the sea during the cross-domain process. An integrated continuous dynamic model considering hydrodynamic changes is established by introducing a linear switching coefficient during the process of trans-medium motion. A nonsingular fast terminal sliding-mode control (NFTSMC) algorithm combined with adaptive technology is used to design the position and attitude of the controller. With no previous knowledge of external interferences and lumped uncertainties of the HAUV, the adaptive NFTSMC (ANFTSMC) algorithm achieves the control objectives; at the same time, the inherent chattering problems of sliding mode control (SMC) are weakened. The finite-time stability of the global system is proven strictly using a series of mathematical derivations based on Lyapunov theory. The effect of the controller applied is analyzed through a series of simulations with representative working conditions. The results show that the proposed ANFTSMC can realize a “seamless” air–water trans-medium process, which proves the superiority and robustness of the proposed control algorithm.
Keywords: hybrid aerial underwater vehicles; trans-medium; nonsingular fast terminal sliding-mode control; adaptive technology hybrid aerial underwater vehicles; trans-medium; nonsingular fast terminal sliding-mode control; adaptive technology

Share and Cite

MDPI and ACS Style

Lu, M.; Liao, F.; Xing, B.; Fan, Z.; Su, Y.; Wu, W. Adaptive Finite-Time Trajectory Tracking Control for Coaxial HAUVs Facing Uncertainties and Unknown Environmental Disturbances. Appl. Sci. 2023, 13, 8026. https://doi.org/10.3390/app13148026

AMA Style

Lu M, Liao F, Xing B, Fan Z, Su Y, Wu W. Adaptive Finite-Time Trajectory Tracking Control for Coaxial HAUVs Facing Uncertainties and Unknown Environmental Disturbances. Applied Sciences. 2023; 13(14):8026. https://doi.org/10.3390/app13148026

Chicago/Turabian Style

Lu, Mingqing, Fei Liao, Beibei Xing, Zhaolin Fan, Yumin Su, and Wenhua Wu. 2023. "Adaptive Finite-Time Trajectory Tracking Control for Coaxial HAUVs Facing Uncertainties and Unknown Environmental Disturbances" Applied Sciences 13, no. 14: 8026. https://doi.org/10.3390/app13148026

APA Style

Lu, M., Liao, F., Xing, B., Fan, Z., Su, Y., & Wu, W. (2023). Adaptive Finite-Time Trajectory Tracking Control for Coaxial HAUVs Facing Uncertainties and Unknown Environmental Disturbances. Applied Sciences, 13(14), 8026. https://doi.org/10.3390/app13148026

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop