Fangui Meng
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Fangui Meng has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Aimin Liu
The Electrical Engineering Department, Shenyang University of Technology, Shenyang 110870, China
1 shared publication - Da Ren
The Electrical Engineering Department, Shenyang University of Technology, Shenyang 110870, China
1 shared publication - Xin Zhang
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110169, China
1 shared publication - Yan Hu
The Electrical Engineering Department, Shenyang University of Technology, Shenyang 110870, China
1 shared publication - Yao Liu
The Electrical Engineering Department, Shenyang University of Technology, Shenyang 110870, China
1 shared publication
Latest Publications
- Open Access
- 12 November 2024
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 12 (11) , 2045
A Control Method for Path Following of AUVs Considering Multiple Factors Under Ocean Currents
To improve the path-following performance of autonomous underwater vehicles (AUVs) under ocean currents, a control method based on line-of-sight with fuzzy controller (FLOS) guidance and the fuzzy sliding mode controller (FSMC) is proposed. This method considers multiple factors affecting guidance and adaptively determines the optimal heading angle through the fuzzy controller to enhance guidance capability. Additionally, a novel FSMC based on Lyapunov stability theory is designed to suppress the influence of model uncertainty and external disturbances on the control system. Simulations and experiments of the proposed control method demonstrate that it can maintain precise tracking under disturbances, improving path-following performance metrics by more than 15%.
- 12 November 2024
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 12 (11) , 2045
Open AccessA Control Method for Path Following of AUVs Considering Multiple Factors Under Ocean Currents
To improve the path-following performance of autonomous underwater vehicles (AUVs) under ocean currents, a control method based on line-of-sight with fuzzy controller (FLOS) guidance and the fuzzy sliding mode controller (FSMC) is proposed. This method considers multiple factors affecting guidance and adaptively determines the optimal heading angle through the fuzzy controller to enhance guidance capability. Additionally, a novel FSMC based on Lyapunov stability theory is designed to suppress the influence of model uncertainty and external disturbances on the control system. Simulations and experiments of the proposed control method demonstrate that it can maintain precise tracking under disturbances, improving path-following performance metrics by more than 15%.