Papers by Keyword: Gyro

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Authors: Kun Peng He, Yu Ping Shao, Lin Zhang, Shou Lei Hu, Yuan Li
Abstract: In order to improve the precision and reliability of the autonomous underwater vehicle (AUV) inertial navigation system, a redundant inertial measurement unit (RIMU) based on micro electromechanical system (MEMS) inertial sensors has been designed, then use support vector machine theory (SVM),construct multi-fault classifier training and combine three-step search parameter optimization method,to achieve rapid, automatic fault detection and isolation (FDI). With Monte Carlo simulation and experimental analysis, SVM method has more obvious advantages than conventional Generalized Likelihood ratio Test (GLT) on false alarm rate, undetected rate and correct isolation rate for common fault sources of RIMU, and can detect and identify the type and number of failure more effectively on redundant systems, and provide a guarantee for fault sensors isolation.
Authors: Xi Sheng Li, Yan Xia Liu, Xiong Ying Shu, Rui Qing Kang
Abstract: In this paper, an MEMS gyro aided on line calibration algorithm for electronic compass is presented. This electronic compass module consists of a three-axis AMR sensor, a two-axis MEMS tilt sensor and a one-axis MEMS gyro. The automatic calibration method requires to rotate the electronic compass two full 360-degree revolution. In this rotation procedure, magnetic field data, attitude data and angular rate data are recorded. Based on recorded magnetic field data and attitude data, raw heading data is calculated. This raw heading data is verified by angular rate output of MEMS gyro. Results of experiment show that the accuracy of calibrated compass is better than 0.5 deg and MEMS gyro aided on line calibration algorithm is effective for electronic compass.
Authors: Zhao Hua Liu, Jia Bin Chen, Yu Liang Mao, Chun Lei Song
Abstract: Autoregressive moving average model (ARMA) was usually used for gyro random drift modeling. Because gyro random drift was a non-stationary, weak non-linear and time-variant random signal, model parameters were random and time-variant, too. For improving precision of gyro and reducing effects of random drift, this paper adopted two-stage recursive least squares method for ARMA parameter estimation. This method overcame the shortcomings of the conventional recursive extended least squares (RELS) algorithm. At the same time, the forgetting factor was introduced to adapt the model parameters change. The simulation experimental results showed that this method is effective.
Authors: Meng Meng Zhou, G.M. Gao, Hong Bo Yang
Abstract: Thehigh-frequency angular micro-vibration on satellite platform results in theoptical axis pointing decreasing accuracy. The Kalman filtering based on attitudeinformation fusion method is presented to solve this case and improve the pointing accuracy of attitude determination. Thesimulation results indicate that the estimated accuracy of Kalman filteringattitude information fusion method is better than the result only fromconventional low frequency sensor. Accordingly, the attitude information fusionmethod is verified and accuracy.
Authors: Lin Zhao, Zhong Hua Su, Yong Hao
Abstract: An attitude determination system has been designed for the geocentric pointing triaxial stabilized satellites which employ a continuously running inertial rate sensor in conjunction with sun sensor and earth sensor. Earth/sun sensor data are processed to generate corrections to satellite attitude, gyro constant drift and earth sensor drift bias estimates. An extended Kalman filter based on the attitude determination system is derived in this paper for the satellite using two earth sensors, a two-axis digit sun sensor as attitude sensors and a three-axis gyro for the angular velocity. A simulation model is developed to estimate the attitude determination performance. Simulation results show that precision attitude determination is achieved using the selected attitude hardware and algorithms.
Authors: Nur Alia Athirah Mohtadzar, Shigeru Takayama
Abstract: Wireless Body Area Network or known as BAN, is a system consists of various kinds of wearable sensors to measure condition of human body. Wrist, waist and shoulder modules from BAN system can help to monitor, analyze and provide advice to the user in order to perform a moderate exercise. The availability of small, low-cost networked sensors combined with advanced signal processing and information extraction is driving a revolution in physiological monitoring and intervention. BAN system is enabling technologies for accurate measurements in healthcare systems, enhance sports and fitness training, life-style monitoring and individualized security.
Authors: Wei Gao, Lei Zhang
Abstract: In inertial navigation system, gyro is used to measure the angular velocity of carrier relative to inertial space for achieve attitude matrix updated in real time. Gyro difficult to eliminate the error, results in strapdown inertial navigation system precision decrease with time. Star sensor is a high-precision attitude measuring instrument and don’t require any priori information, the attitude date can be provided by star sensor. Thus, gyro is simulated by star sensor in order to improve the precision of strapdown inertial navigation system.
Authors: Xiao Yan Dai, Zhi Gang Chen
Abstract: In this paper, we did the analysis of the gyro error using Allan variance method, static output data using a three-axis gyroscope of the global first integrated six-axis motion processing components MPU6050. Experimental result shows that it not only improves the estimation accuracy of gyro error, but also the amount of data required is greatly reduced.
Authors: Xiao Yan Dai, Zhi Gang Chen, Xian Xie
Abstract: In this paper, we did the analysis of the gyro random migration using Allan variance method, static output data using a three-axis gyroscope of the global first integrated six-axis motion processing components MPU6050. Experimental result shows that the fitting of bias instability and angle random walk smoother, it not only improves the estimation accuracy of random walk coefficient, but also the amount of data required is greatly reduced.
Authors: Zhen Shi, Zhi Qiang Yang
Abstract: To the certain deficiencies in the practical application of traditional hang belt Gyro theodolite ,focused on describe the key technologies, technical features and system advantages of the GAT precision magnetic levitation Gyro Station which research and development independently based on maglev bearing technology, and combined with the south water to north and pull the red economic stone those two underground hydraulic engineering application examples,illustrates the broad application prospects and high accuracy, high stability and operating convenience features and systems promoting advantages of the GAT maglev Gyro Station in underground engineering survey.
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