Path Following Model Predictive Control of a Coupled Autonomous Underwater Vehicle
Isah A. Jimoh, Hong Yue

TL;DR
This paper presents a novel 3D path following control system for autonomous underwater vehicles using model predictive control and LOS guidance, effectively handling coupled motions and disturbances.
Contribution
It introduces a coupled 3D path following control approach that avoids decoupling assumptions, enhancing robustness against environmental disturbances.
Findings
The AUV successfully follows waypoints under time-varying disturbances.
The control system maintains steady steering at a constant surge speed.
Simulation results demonstrate improved path tracking accuracy.
Abstract
The operation of an autonomous underwater vehicle (AUV) faces challenges in following predetermined waypoints due to coupled motions under environmental disturbances. To address this, a 3D path following guidance and control system is developed in this work based on the line-of-sight (LOS) guidance method. Conventionally, the 3D path following problem is transformed into heading and depth control problems, assuming that the motion of the vehicle is decoupled in horizontal and depth coordinates. The proposed control system design avoids this simplifying assumption by transforming the problem into a 3D position and orientation tracking problem. This design is achieved by computing a 2D horizontal coordinate based on the desired heading and then computing a corresponding LOS depth coordinate. A model predictive controller (MPC) is then implemented using the 3D LOS coordinate and the…
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Taxonomy
TopicsAdaptive Control of Nonlinear Systems · Underwater Vehicles and Communication Systems · Advanced Control Systems Optimization
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
