Output based backstepping control for trajectory tracking of an Autonomous Underwater Vehicle

Jorge Cervantes, Wen Yu, Sergio Salazar, Isaac Chairez, Rogelio Lozano

Research output: Contribution to conferencePaper

7 Scopus citations

Abstract

© 2016 American Automatic Control Council (AACC). This study describes the design of an output based controller for a 4-DOF (three dimensional position x-y-z as well as yaw angle) Autonomous Underwater Vehicle (AUV) using a mixed structure of a backstepping like control form and a Robust Exact Differentiator (RED). The class of AUV system allowed to control the AUV's vertical coordinate independently. To adjust the x-y plane trajectories, the angular velocity with respect to the z coordinate was used as a virtual control action. The controller was designed to solve the tracking problem of the AUV to a desired reference trajectory. The controller was originally designed under the assumption of using the whole state to construct the closed-loop structure. As the differentiator converged in finite-time, then the controller was adjusted to use the velocity information obtained by the RED. The tracking performance obtained by the proposed controller was evaluated by tracking two reference trajectories. An acceptable performance was obtained by the application of the mixed controller in terms of the mean-square error of tracking problem. A set of simulations with different reference trajectories was used to evaluate the implementation aspects of the solution suggested in this study.
Original languageAmerican English
Pages6423-6428
Number of pages5780
DOIs
StatePublished - 28 Jul 2016
Externally publishedYes
EventProceedings of the American Control Conference -
Duration: 28 Jul 2016 → …

Conference

ConferenceProceedings of the American Control Conference
Period28/07/16 → …

    Fingerprint

Cite this

Cervantes, J., Yu, W., Salazar, S., Chairez, I., & Lozano, R. (2016). Output based backstepping control for trajectory tracking of an Autonomous Underwater Vehicle. 6423-6428. Paper presented at Proceedings of the American Control Conference, . https://doi.org/10.1109/ACC.2016.7526680