DocumentCode
696408
Title
Single range navigation in the presence of constant unknown drifts
Author
Batista, Pedro ; Silvestre, Carlos ; Oliveira, Paulo
Author_Institution
Inst. for Syst. & Robot., Inst. Super. Tecnico, Lisbon, Portugal
fYear
2009
fDate
23-26 Aug. 2009
Firstpage
3983
Lastpage
3988
Abstract
This paper addresses the problem of navigation/source localization by mobile agents based on the range to a single source. The agent is allowed to have a constant unknown drift relative to an inertial reference frame, which is common, for example, in ocean robotic vehicles in the presence of sea currents, and the source may also have a constant unknown velocity relative to the inertial frame. The contribution of the paper is twofold: i) necessary and sufficient conditions on the observability of the system are derived that are useful for the motion planning and control of the agent; ii) a linear model is developed that mimics the exact dynamics of the nonlinear range-based system, and a Kalman filter is synthesized to estimate the position of the source, as well as the difference between the agent and the source drift velocities. Simulation results that illustrate the performance of the proposed solution in the presence of realistic measurement noise are presented and discussed.
Keywords
Kalman filters; inertial navigation; measurement errors; mobile agents; mobile robots; motion control; nonlinear dynamical systems; path planning; Kalman filter; constant unknown drifts; inertial reference frame; mobile agents; motion control; motion planning; necessary and sufficient conditions; nonlinear range-based system; ocean robotic vehicles; realistic measurement noise; sea currents; single range navigation; source drift velocities; source localization; Linear systems; Navigation; Nonlinear dynamical systems; Observability; Sea measurements; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 2009 European
Conference_Location
Budapest
Print_ISBN
978-3-9524173-9-3
Type
conf
Filename
7075023
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