SYROFeb 17, 2017

Control of an Unmanned Surface Vehicle with Uncertain Displacement and Drag

arXiv:1702.05314v198 citations
Originality Incremental advance
AI Analysis

This addresses control challenges for unmanned surface vehicles in real-world conditions, but it is incremental as it modifies an existing method.

The paper tackled controlling an unmanned surface vehicle under uncertain displacement and drag by testing two low-level controllers, finding that a modified adaptive backstepping controller best mitigated these effects in experimental field tests.

Experimental testing of an unmanned surface vehicle (USV) has been performed to evaluate the performance of two low-level controllers when displacement and drag properties are time-varying and uncertain. The USV is a 4.3 meter long, 150 kilogram wave adaptive modular vessel (WAM-V) with an inflatable twin hull configuration and waterjet propulsion. Open loop maneuvering tests were conducted to characterize the dynamics of the vehicle. The hydrodynamic coefficients of the vehicle were determined through system identification of the maneuvering data and were used for simulations during control system development. The resulting controllers were experimentally field tested on-water. Variable mass and drag tests show that the vehicle is best controlled by a model reference adaptive backstepping speed and heading controller. The backstepping controller developed by Liao et. al (2010) is modified to account for an overprediction of necessary control action and motor saturation. It is shown that when an adaptive algorithm is implemented for the surge control subsystem of the modified backstepping controller, the effects of variable mass and drag are mitigated.

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