TU Darmstadt / ULB / TUbiblio

Modeling and Implementation of Multi-Position Non-Continuous Rotation Gyroscope North Finder

Jun, Luo and Wang, Zhiqian and Shen, Chengwu and Kuijper, Arjan and Zhuoman, Wen and Liu, Shaojin (2016):
Modeling and Implementation of Multi-Position Non-Continuous Rotation Gyroscope North Finder.
16, In: Sensors, (9), p. 18, DOI: 10.3390/s16091513,
[Article]

Abstract

Even when the Global Positioning System (GPS) signal is blocked, a rate gyroscope (gyro) north finder is capable of providing the required azimuth reference information to a certain extent. In order to measure the azimuth between the observer and the north direction very accurately, we propose a multi-position non-continuous rotation gyro north finding scheme. Our new generalized mathematical model analyzes the elements that affect the azimuth measurement precision and can thus provide high precision azimuth reference information. Based on the gyro's principle of detecting a projection of the earth rotation rate on its sensitive axis and the proposed north finding scheme, we are able to deduct an accurate mathematical model of the gyro outputs against azimuth with the gyro and shaft misalignments. Combining the gyro outputs model and the theory of propagation of uncertainty, some approaches to optimize north finding are provided, including reducing the gyro bias error, constraining the gyro random error, increasing the number of rotation points, improving rotation angle measurement precision, decreasing the gyro and the shaft misalignment angles. According them, a north finder setup is built and the azimuth uncertainty of 18" is obtained. This paper provides systematic theory for analyzing the details of the gyro north finder scheme from simulation to implementation. The proposed theory can guide both applied researchers in academia and advanced practitioners in industry for designing high precision robust north finder based on different types of rate gyroscopes.

Item Type: Article
Erschienen: 2016
Creators: Jun, Luo and Wang, Zhiqian and Shen, Chengwu and Kuijper, Arjan and Zhuoman, Wen and Liu, Shaojin
Title: Modeling and Implementation of Multi-Position Non-Continuous Rotation Gyroscope North Finder
Language: English
Abstract:

Even when the Global Positioning System (GPS) signal is blocked, a rate gyroscope (gyro) north finder is capable of providing the required azimuth reference information to a certain extent. In order to measure the azimuth between the observer and the north direction very accurately, we propose a multi-position non-continuous rotation gyro north finding scheme. Our new generalized mathematical model analyzes the elements that affect the azimuth measurement precision and can thus provide high precision azimuth reference information. Based on the gyro's principle of detecting a projection of the earth rotation rate on its sensitive axis and the proposed north finding scheme, we are able to deduct an accurate mathematical model of the gyro outputs against azimuth with the gyro and shaft misalignments. Combining the gyro outputs model and the theory of propagation of uncertainty, some approaches to optimize north finding are provided, including reducing the gyro bias error, constraining the gyro random error, increasing the number of rotation points, improving rotation angle measurement precision, decreasing the gyro and the shaft misalignment angles. According them, a north finder setup is built and the azimuth uncertainty of 18" is obtained. This paper provides systematic theory for analyzing the details of the gyro north finder scheme from simulation to implementation. The proposed theory can guide both applied researchers in academia and advanced practitioners in industry for designing high precision robust north finder based on different types of rate gyroscopes.

Journal or Publication Title: Sensors
Volume: 16
Number: 9
Uncontrolled Keywords: Guiding Theme: Smart City, Research Area: Human computer interaction (HCI), Research Area: (Interactive) simulation (SIM), Sensor technologies, Measurements, Uncertainty
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Mathematical and Applied Visual Computing
Date Deposited: 03 May 2019 07:27
DOI: 10.3390/s16091513
Export:
Suche nach Titel in: TUfind oder in Google
Send an inquiry Send an inquiry

Options (only for editors)

View Item View Item