Affiliation:
1. US Navy Space and Naval Warfare Systems Center Pacific, USA
2. Department of Mechanical Engineering, Johns Hopkins University, USA
Abstract
This paper reports a comparative experimental evaluation of one non-model-based proportional derivative (PD) six-degree-of-freedom (6-DOF) controller and two model-based 6-DOF controllers designed to enable low-speed, neutrally buoyant, and fully actuated underwater vehicles to perform 6-DOF set-point regulation and trajectory tracking. We show analytically that the non-model-based PD controller provides locally asymptotically stable set-point regulation, and we show analytically that the model-based controllers provide locally asymptotically stable 6-DOF trajectory tracking. Numerical simulation studies are reported that corroborate the analytical stability results. We report the first comparative experimental evaluation of three different control algorithms for dynamic 6-DOF trajectory tracking of fully actuated underwater vehicles. Experimental results with the Johns Hopkins University remotely operated vehicle (JHU ROV) show that the model-based controllers’ mean absolute position and velocity tracking error is significantly smaller than the non-model-based PD controller for coupled maneuvers. The model-based controllers are shown to outperform the non-model-based controllers over a wide range of variations in the magnitude of derivative feedback gain. The velocity tracking error of the model-based controllers is shown to be on the same order of magnitude as the measurement error of the velocity sensing instrumentation.
Subject
Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modelling and Simulation,Software
Cited by
14 articles.
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