Path-Following Control of an AUV: Fully Actuated Versus Under-actuated Configuration

2016 ◽  
Vol 50 (1) ◽  
pp. 34-47 ◽  
Author(s):  
Xianbo Xiang ◽  
Caoyang Yu ◽  
Qin Zhang ◽  
Guohua Xu
Keyword(s):  
Control Method ◽  
Autonomous Underwater Vehicles ◽  
Path Following ◽  
Underwater Vehicles ◽  
Slip Angle ◽  
Nonlinear Controllers ◽  
Path Following Control ◽  
Marine Technology ◽  
Nonlinear Control Method ◽  
And Control

AbstractThe problem of motion control of underwater vehicles in both the fully actuated and under-actuated configurations is often confronted by the marine technology community. This paper presents a nonlinear control method for autonomous underwater vehicles (AUVs) traveling along a planned planar path in both actuation configurations. The common objectives of path-following control for both fully actuated and under-actuated vehicles are described, and the differences in the necessary path-following control designs are analyzed, showing that the side-slip angle of the vehicle plays an important role in the evolution of the dynamics of AUVs with different actuation configurations. Based on the presented analysis, nonlinear controllers for the two types of AUV configurations are proposed, and the inherent characteristics of under-actuation and full actuation are revealed by a dedicated analysis of numerical simulation paradigms, the results of which will be instrumental in guiding marine technology engineers in the practical design and control of AUVs.

Horizontal path following for underactuated AUV based on dynamic circle guidance

Robotica ◽  
2015 ◽  
Vol 35 (4) ◽  
pp. 876-891 ◽  
Author(s):  
Huang Xinjing ◽  
Li Yibo ◽  
Du Fei ◽  
Jin Shijiu
Keyword(s):  
Control Method ◽  
Autonomous Underwater Vehicles ◽  
Path Following ◽  
Mapping Function ◽  
Convex Mapping ◽  
Guidance And Control ◽  
Path Following Control ◽  
And Control ◽  
Cross Track ◽  
Path Point

SUMMARYA 2D path following control method for Autonomous Underwater Vehicles (AUVs) based on dynamic circle heading modification (DCHM) is presented. The method makes a dynamic auxiliary circle, whose radius depends on the cross-track error e, to intersect the desired path to get a new expected path point, and then determines a modified expected heading for the AUV. The guidance function is achieved by a direct mapping between e and the heading modification value Ψm. Several cases are tested in order to demonstrate the performance of the guidance and control method based on DCHMs for a real AUV. Results show that methods using a convex mapping function between e and Ψm based on our new idea can easily achieve a better convergence of path following, and reduce the error between the actual and desired heading angles. We can also customize a discretionary mapping between e and Ψm to get better path following performance.

scholarly journals Spatial Path Following for AUVs Using Adaptive Neural Network Controllers

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Jiajia Zhou ◽  
Zhaodong Tang ◽  
Honghan Zhang ◽  
Jianfang Jiao
Keyword(s):  
Neural Network ◽  
Autonomous Underwater Vehicles ◽  
Path Following ◽  
Underwater Vehicles ◽  
Ocean Current ◽  
Lyapunov Stability Theorem ◽  
Adaptive Neural Network ◽  
Path Following Control ◽  
Following Error ◽  
Neural Network Controllers

The spatial path following control problem of autonomous underwater vehicles (AUVs) is addressed in this paper. In order to realize AUVs’ spatial path following control under systemic variations and ocean current, three adaptive neural network controllers which are based on the Lyapunov stability theorem are introduced to estimate uncertain parameters of the vehicle’s model and unknown current disturbances. These controllers are designed to guarantee that all the error states in the path following system are asymptotically stable. Simulation results demonstrated that the proposed controller was effective in reducing the path following error and was robust against the disturbances caused by vehicle's uncertainty and ocean currents.

scholarly journals A Unifying Task Priority Approach for Autonomous Underwater Vehicles Integrating Homing and Docking Maneuvers

2021 ◽  
Vol 9 (2) ◽  
pp. 162
Author(s):  
Cris Thomas ◽  
Enrico Simetti ◽  
Giuseppe Casalino
Keyword(s):  
Ad Hoc ◽  
Autonomous Underwater Vehicles ◽  
Path Following ◽  
Underwater Vehicles ◽  
Control Approach ◽  
Wide Range ◽  
Terrain Following ◽  
Task Priority ◽  
The Rich ◽  
And Control

This research proposes a unified guidance and control framework for Autonomous Underwater Vehicles (AUVs) based on the task priority control approach, incorporating various behaviors such as path following, terrain following, obstacle avoidance, as well as homing and docking to stationary and moving stations. The integration of homing and docking maneuvers into the task priority framework is thus a novel contribution of this paper. This integration allows, for example, to execute homing maneuvers close to uneven seafloor or obstacles, ensuring the safety of the AUV, as safety tasks can be given the highest priority. Furthermore, another contribution shown in the paper is that the proposed approach tackles a wide range of scenarios without ad hoc solutions. Indeed, the proposed approach is well suited for both the emerging trend of resident AUVs, which stay underwater for a long period inside garage stations, exiting to perform inspection and maintenance missions and homing back to them, and for AUVs that are required to dock to moving stations such as surface vehicles, or towed docking stations. The proposed techniques are studied in a simulation setting, taking into account the rich number of aforementioned scenarios.

Backstepping Control Method for the Trajectory Tracking for the Underactuated Autonomous Underwater Vehicle

2013 ◽  
Vol 798-799 ◽  
pp. 484-488 ◽  
Author(s):  
Lei Wan ◽  
Nan Sun ◽  
Yu Lei Liao
Keyword(s):  
Control System ◽  
Trajectory Tracking ◽  
Autonomous Underwater Vehicle ◽  
Control Method ◽  
Autonomous Underwater Vehicles ◽  
Path Following ◽  
Underactuated System ◽  
Strong Nonlinearity ◽  
Parameter Uncertainties ◽  
Path Following Control

The underactuated autonomous underwater vehicles (AUV) have the characteristics of strong nonlinearity and model uncertainty. A method of backstepping path following control was raised for the trajectory tracking control problem of the AUV under Serret-Frenet frame. It transformed the original underactuated system into an actuated nonlinear system based on simplified analysis. A backstepping trajectory tracking controller was proposed based on backstepping method. By means of Lyapunov stability theory, it was proven that the proposed controller can guarantee the path following control system globally asymptotically stable. Simulation experiments show that the control system has good adaptability and robustness in case of parameter uncertainties and external disturbances to avoid shaking of performance.

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