4.7 Article

A Survey on Model-Based Control and Guidance Principles for Autonomous Marine Vehicles

Journal

Publisher

MDPI
DOI: 10.3390/jmse11020430

Keywords

marine vehicles; AUVs; underactuated robots; control review; model-based control; PID control; feedback linearization; line of sight; sliding mode control; differential flatness

Ask authors/readers for more resources

This paper reviews the control methods and guidance principles developed for surface and underwater autonomous vehicles. It focuses on model-based nonlinear control methods and guidance principles. The paper details examples and variations of model-based linearizing controllers, applications of line of sight guidance, sliding mode controllers, and other less common control methods for both fully-actuated and underactuated vehicles. It also proposes an alternative definition of underactuation and compares the capabilities, limitations, and suitability of the reviewed methods for typical tasks.
With the increasing number of applications for both surface and underwater autonomous vehicles, a great amount of control methods and guidance principles has been developed over the years. This work proposes a review of the most common of these methods. It is mainly focused on model-based nonlinear control methods and guidance principles. Notably, this work details examples and variations of model-based linearizing controllers, applications of line of sight guidance, sliding mode controllers and several other less common control methods for both fully-actuated and underactuated vehicles. Additionally, this work proposes an alternative definition of underactuation with respect to the task allowing for a better understanding of the consequences of underactuation on control. Comparison of fully-actuated and underactuated cases shows how control laws can be used to solve the problems of underactuation and what mechanisms can be used to compensate for the lack of actuation on a degree of freedom. The reviewed methods are compared and discussed with respect to their capabilities, limitations and suitability for typical tasks.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available