Navigation system design and state estimation for a small rigid hull inflatable boat (RHIB)

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Author
Terjesen, Steven
Date
2014-09Advisor
Horner, Douglas
Kragelund, Sean
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Autonomous operation of a small rigid hull inflatable boat (RHIB) is a complex problem that requires a robust network of sensors, controllers, processors, and actuators. Furthermore, autonomous navigation requires accurate state estimation, fusing and filtering data from an array of sensors to give the best possible estimates of attitude, position, and velocity. This thesis will address the hardware modifications and navigation state estimators used to configure the SeaFox Mk II RHIB for future autonomous operations. The study began with a RHIB capable of manual and remote-controlled operation. The proprietary controllers and processors were replaced with an open architecture system that enabled an autonomous mode of operation and data collection from a suite of global positioning satellite receivers and inertial measurement units. Multiple navigation state estimators were designed using the extended Kalman filter and several variants of the unscented Kalman filter. Each filter was evaluated against simulated and actual sea trial data to determine its accuracy, robustness, and computational efficiency.
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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