Title :
Planing avoidance control for supercavitating vehicles
Author :
Escobar Sanabria, David ; Balas, Gary J. ; Arndt, Roger E. A.
Author_Institution :
Dept. of Aerosp. Eng. & Mech., Univ. of Minnesota, Minneapolis, MN, USA
Abstract :
Underwater vehicles traveling inside a bubble or supercavity enable the reduction of drag and increase of speed; however, planing forces generated when the vehicle aft end pierces the bubble can lead to oscillatory motion and instability. In this paper, a framework for the synthesis of planing avoidance controllers is presented and the trade-off between tracking performance and planing avoidance is investigated. We propose mathematical models of the supercavity and planing forces, based on experimental data, that are used to construct a nonlinear model of the vehicle dynamics and a simplified version suitable for analysis and controller synthesis. A planing metric, based on the simplified vehicle dynamics, is used within the controller synthesis to avoid planing. Simulations of vehicle maneuvers demonstrate that including planing avoidance as a control objective, reduces planing and increases the bounds of tracking commands for which the vehicle remains stable.
Keywords :
collision avoidance; control system synthesis; drag reduction; underwater vehicles; vehicle dynamics; drag reduction; for supercavitating vehicles; mathematical models; nonlinear model; oscillatory motion; planing avoidance controller synthesis; planing forces; tracking performance; underwater vehicles; vehicle dynamics; vehicle maneuver simulation; Computational modeling; Dynamics; Measurement; Planing; Vectors; Vehicle dynamics; Vehicles; Aerospace; Flight control; Robust control;
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-3272-6
DOI :
10.1109/ACC.2014.6859485