scholarly journals The Development of a Low Cost Inertial Navigation System for a Remotely Operated Vehicle

2021 ◽  
Author(s):  
◽  
Jason Dean Edwards

<p>Modern robotic vehicles use a large and varied set of sensors to navigate and localise their position in the environment and determine where they should be heading to accomplish their tasks. These sensors include GPS, infrared and ultrasonic range finders, laser scanners and sonar. However, the underwater environment presents challengers for modern robotic vehicles because most sensors that are typically used for navigation and localisation have reduced or no functionality underwater. This thesis details the design and construction of a low cost Inertial Navigation System use on the Victoria University of Wellington's (VUW) Mechatronics group Remotely Operated Vehicle (ROV). The major electronic systems, comprising of the onboard computer and microcontroller, of the ROV have been upgraded to allow for the increased computational power that the Inertial Navigation System needs and to allow further upgrading and installation of electrical and electronic systems in the vehicle as they are required. Modifications to the chassis allow quick and simple disassembly of the ROV to repair or replace major components if the need arises.</p>

2021 ◽  
Author(s):  
◽  
Jason Dean Edwards

<p>Modern robotic vehicles use a large and varied set of sensors to navigate and localise their position in the environment and determine where they should be heading to accomplish their tasks. These sensors include GPS, infrared and ultrasonic range finders, laser scanners and sonar. However, the underwater environment presents challengers for modern robotic vehicles because most sensors that are typically used for navigation and localisation have reduced or no functionality underwater. This thesis details the design and construction of a low cost Inertial Navigation System use on the Victoria University of Wellington's (VUW) Mechatronics group Remotely Operated Vehicle (ROV). The major electronic systems, comprising of the onboard computer and microcontroller, of the ROV have been upgraded to allow for the increased computational power that the Inertial Navigation System needs and to allow further upgrading and installation of electrical and electronic systems in the vehicle as they are required. Modifications to the chassis allow quick and simple disassembly of the ROV to repair or replace major components if the need arises.</p>


Author(s):  
Lucian T. Grigorie ◽  
Ruxandra M. Botez

In this paper, an algorithm for the inertial sensors errors reduction in a strap-down inertial navigation system, using several miniaturized inertial sensors for each axis of the vehicle frame, is conceived. The algorithm is based on the idea of the maximum ratio-combined telecommunications method. We consider that it would be much more advantageous to set a high number of miniaturized sensors on each input axis of the strap-down inertial system instead of a single one, more accurate but expensive and with larger dimensions. Moreover, a redundant system, which would isolate any of the sensors in case of its malfunctioning, is obtained. In order to test the algorithm, Simulink code is used for algorithm and for the acceleration inertial sensors modeling. The Simulink resulted sensors models include their real errors, based on the data sheets parameters, and were conceived based on the IEEE analytical standardized accelerometers model. An integration algorithm is obtained, in which the signal noise power delivered to the navigation processor, is reduced, proportionally with the number of the integrated sensors. At the same time, the bias of the resulted signal is reduced, and provides a high redundancy degree for the strap-down inertial navigation system at a lower cost than at the cost of more accurate and expensive sensors.


2012 ◽  
Author(s):  
Hyung-Soon Kim ◽  
Seung-Ho Baeg ◽  
Kwang-Woong Yang ◽  
Kuk Cho ◽  
Sangdeok Park

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