Hybrid Layer of Improved Interfered Fluid Dynamic System and Nonlinear Model Predictive Control for Navigation and Control of Autonomous Underwater Vehicles
This study introduces a hybrid control structure called Improved Interfered Fluid Dynamic System Nonlinear Model Predictive Control (IIFDS-NMPC) for the path planning and trajectory tracking of autonomous underwater vehicles (AUVs). The system consists of two layers; the upper layer utilizes the Imp...
Main Authors: | Jiqing Du, Dan Zhou, Sachiyo Arai |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-10-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/11/10/2014 |
Similar Items
-
A Real-Time Autonomous Gravity Measurement Method for Underwater Gravity-Aided Navigation
by: Wenyu Ai, et al.
Published: (2023-01-01) -
Adaptive Navigation Algorithm with Deep Learning for Autonomous Underwater Vehicle
by: Hui Ma, et al.
Published: (2021-09-01) -
Autonomous Navigation for Autonomous Underwater Vehicles Based on Information Filters and Active Sensing
by: Tianhong Yan, et al.
Published: (2011-11-01) -
A Real-Time Mismatch Detection Method for Underwater Database-Referenced Navigation
by: Tian Dai, et al.
Published: (2019-01-01) -
Reference Model-Based Deterministic Policy for Pitch and Depth Control of Autonomous Underwater Vehicle
by: Jiqing Du, et al.
Published: (2023-03-01)