Title :
Kalman filter based team navigation for Multiple Unmanned Marine Vehicles
Author :
Schneider, Matthias ; Glotzbach, Thomas ; Jacobi, Marco ; Müller, Fabian ; Eichhorn, Mike ; Otto, Peter
Author_Institution :
Inst. for Autom. & Syst. Eng., Tech. Univ. Ilmenau, Ilmenau
Abstract :
In applications employing multiple unmanned marine vehicles (MUMVs), the navigation has a very great importance to guarantee formation preservation and collision avoidance. While single vehicles usually base their navigation on absolute measurements (GPS, inertial navigation) to determine their position relative to the world, it may be reasonable to perform a relative navigation within vehicle teams. In this paper, we propose relative team navigation based on Kalman Filters to enable a velocity controller to establish a close formation under the typical marine constraints (narrow band width communication with low reliability). We will simulate a team of three marine vehicles and compare the results of different strategies for team navigation.
Keywords :
Kalman filters; collision avoidance; marine vehicles; multi-robot systems; remotely operated vehicles; velocity control; Kalman filter; MUMV; collision avoidance; formation preservation; multiple unmanned marine vehicles; team navigation; velocity controller; Communication system control; Control systems; Global Positioning System; Inertial navigation; Jacobian matrices; Marine vehicles; USA Councils; Underwater cables; Underwater vehicles; Velocity control;
Conference_Titel :
Control Applications, 2008. CCA 2008. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2222-7
Electronic_ISBN :
978-1-4244-2223-4
DOI :
10.1109/CCA.2008.4629655