한국해양대학교

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A Study on a Low-Cost Attitude and Heading Estimation System for ROVs

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dc.contributor.author ThanhHoanNgo -
dc.date.accessioned 2017-02-22T02:17:00Z -
dc.date.available 2017-02-22T02:17:00Z -
dc.date.issued 2008 -
dc.date.submitted 2008-07-30 -
dc.identifier.uri http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002174182 ko_KR
dc.identifier.uri http://repository.kmou.ac.kr/handle/2014.oak/8138 -
dc.description.abstract This thesis presents a methodology for designing a low-cost attitude and heading estimation system which is composed of three single-axis rate gyros, a tri-axis accelerometer, and a tri-axis magnetometer. Rate gyro sensor we have chosen is a small relatively inexpensive piezoelectric vibrating rate gyro originally developed for the automobile market and active suspension systems by Murata. It generates voltage output proportional to the angular velocity of the vehicle around the principal axis of the device. Accelerometer is a tri-axis digital output linear accelerometer developed by ST that includes a sensing element and an IC interface able to take the information from the sensing element and to provide the measured acceleration signals to the external world through an I2C/SPI interface. Magnetometer is an integrated tri-axis magnetic field sensing module manufactured by PNI. It is used to measure Earth’s magnetic field. SPI interface allows easy access to its measurement parameters and resulting field measurement data. Output signals coming from these sensors are fused through two Kalman filters. One Kalman filter is used to estimate roll and pitch angles and the other is for heading angle estimation. By using this method, we have obtained attitude (roll and pitch angle) and heading information which are reliable over long period of time. Results from a set of simulation works have shown the performance of the presented method. -
dc.description.tableofcontents Abstract ii Acknowledgements iii Contents iv List of Figures v Chapter 1 Introduction 1 Chapter 2 Theoretical Background 5 2.1 Attitude and heading representation 5 2.2 Attitude and heading determination using rate gyros 8 2.3 Attitude determination using accelerometers 11 2.4 Heading determination using magnetometer 14 Chapter 3 Design Attitude and Heading Estimation System 17 3.1 Hardware design process 17 3.1.1 Rate gyro sensor 19 3.1.2 Tri-axis accelerometer 22 3.1.3 Tri-axis magnetic sensor 24 3.2 Data fusion algorithm 25 3.2.1 Attitude estimator 25 3.2.2 Heading estimator 29 Chapter 4 Simulation Studies 32 Chapter 5 Conclusions 39 References 40 -
dc.language eng -
dc.publisher Korea Maritime University -
dc.title A Study on a Low-Cost Attitude and Heading Estimation System for ROVs -
dc.title.alternative A Study on a Low-Cost Attitude and Heading Estimation System for ROVs -
dc.type Thesis -
dc.date.awarded 2008-08 -
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제어계측공학과 > Thesis
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