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Identification modeling of inertial sensors' parameters of strapdown inertial navigation systems
2017 2nd International Ural Conference on Measurements (UralCon), 2017The paper aims at improving the accuracy of the strapdown inertial navigation systems (SINS). The calibration is carried out using a 2-axial motion simulator. The influence of motion simulator instrumental errors is investigated. They effect the errors in the determination of calibration coefficients for SINS accelerometers and gyroscopes.
S. Nikolaev, A. Golota, Iu. Ivshina
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Initial alignment for strapdown inertial navigation system based on inertial frame
2009 International Conference on Mechatronics and Automation, 2009A initial alignment algorithm in the inertial frame based on the alignment application of Kalman filter was presented. State and observation equations of strapdown inertial navigation system (SINS) are established using Kalman filter by the gravity vector projected in the inertial frame, and the initial alignment of the SINS based on the inertial frame
Feng Sun +4 more
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Strapdown Inertial Navigation Algorithms Based on Lie Group
Journal of Navigation, 2016This paper presents a framework for a strapdown Inertial Navigation System (INS) algorithm design by using Lie group and Lie algebra. The general way to solve Lie group differential equations is introduced. Investigations reveal that this general Lie group method provides a simpler unified way to solve differential equations involving direction cosine ...
Jun Mao, Junxiang Lian, Xiaoping Hu
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Application of Neural Network to the Alignment of Strapdown Inertial Navigation System
2007In this paper, a strapdown inertial navigation system (SINS) error model is introduced, and the model observability is analyzed. Due to the weak observability of SINS error model, the azimuth error can not be estimated quickly by Kalman filter. To reduce the initial alignment time, a neural network method for the initial alignment of SINS on stationary
Meng Bai, Xiaoguang Zhao, Zeng-Guang Hou
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Analysis of the Symmetry for a Rotating Strapdown Inertial Navigation System
Advanced Materials Research, 2012It is known that the precision of the strapdown inertial navigation system is influenced by constant bias of inertial sensors. A method of self-compensation based on a rotating inertial navigation system is proposed to enhance the precision. The constant drift of gyro and accelerometers is modulated into a seasonal and zero-mean form. In the paper, the
Wei Gao +3 more
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Terrain-Aided Strapdown Inertial Navigation System with Improved ICCP
2018Ocean exploration is playing an increasingly significant role in the development of each country because of the huge material resources therein. A terrain-aided strapdown inertial navigation system based on Kalman Filter (KF) is proposed in this paper in order to improve the navigation precision of autonomous underwater vehicles. The characteristics of
Qi Wang, Chang-song Yang, Yuxiang Wang
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Parking correction of strapdown inertial navigation system
International Journal of Industrial and Systems Engineering, 2021Yan Zhang, Jianzhong Wang
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Neural network initialization of strapdown inertial navigation systems
2000ABSTRACT NEURAL NETWORK INITALIZATION OF STRAPDOWN INERTIAL NAVIGATION SYSTEMS Özemre, Murat M.Sc, Department of Aeronautical Engineering Supervisor: Assoc.Prof.Dr. Ozan Tekinalp January 2000, 133 pages This thesis presents a new approach for the initialization process (initial alignment and calibration) of strapdown Inertial Navigation Systems for air
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Bench calibration problem for a strapdown inertial navigation system
Mechanics of Solids, 2009We solve the bench calibration problem for a strapdown inertial navigation system. A distinguishing characteristic of the calibration algorithm under study is that the information conveyed by the bench transducers is not used directly. We study how the calibration accuracy depends on the program rotations performed by the bench platform control.
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Improvements in Filters of Strapdown Inertial Navigation System
2023 International Conference on IoT, Communication and Automation Technology (ICICAT), 2023L. Nemani Kumar +2 more
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