Research on Attitude Measurement Method of Special Aircraft Using Geomagnetic Sensor/Gyroscope Based on UKF

被引:4
|
作者
Ping-an, Zhang [1 ]
Wei, Wang [1 ]
Min, Gao [1 ]
Yi, Wang [1 ]
机构
[1] PLA Army Engn Univ, Shijiazhuang Campus, Shijiazhuang 050003, Hebei, Peoples R China
关键词
Aircraft - Flight simulators - Geomagnetism - Kalman filters;
D O I
10.1155/2021/6662007
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Based on the output information of the three-axis geomagnetic sensor and three-axis gyroscope, a mathematical model for measuring the flight attitude information of special aircraft is established, and the flight attitude of the special aircraft is calculated in real time. To improve the accuracy of calculating the flight attitude of the special aircraft, the model of the pitch and yaw angles based on the Unscented Kalman filter (UKF) is established by using the output expression of the gyroscope and geomagnetic sensor x-axis, and then the pitch angle and yaw angle obtained by filtering are brought into the geomagnetic sensor to calculate the roll angle of special aircraft in real time. The simulation results show that compared with the direct calculation of the special aircraft flight attitude angle, the combination of a geomagnetic sensor and gyroscope is more accurate after UKF processing, which verifies the effectiveness and feasibility of the attitude calculation method, and improves the accuracy of flight attitude measurement for special aircraft.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] A BIAXIAL INFRARED AND GEOMAGNETIC COMPOSITE ATTITUDE MEASUREMENT METHOD OF ROTATING PROJECTILE
    Cao, Yihan
    Bu, Xiongzhu
    Han, Wei
    He, Zilu
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2019, VOL 1, 2019,
  • [42] Flexible Aircraft Attitude Control Method with the Measurement of Angular Acceleration
    Zhang B.
    Zhou D.
    Binggong Xuebao/Acta Armamentarii, 2020, 41 (11): : 2225 - 2233
  • [43] Fault estimation and processing method of attitude measurement gyroscope for rotary steerable tools
    Geng, Yanfeng
    Sun, Jian
    Wang, Weiliang
    Cheng, Minbiao
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2021, 29 (02): : 273 - 280
  • [44] EXTENDED KALMAN FILTER BASED ATTITUDE AND DRIFT ESTIMATION OF A LUNAR LANDER USING STAR SENSOR AND GYROSCOPE
    Gandhi, Deepana
    Natarajan, P.
    Balasubramanian, Karthic
    Chintha, Cheerudeep
    SPACEFLIGHT MECHANICS 2016, PTS I-IV, 2016, 158 : 4587 - 4598
  • [45] A Method for the Measurement of Ship Attitude Based on Multi-sensor Data Fusion
    Qu Feng-de
    Wang Feng-wu
    Li Jiang
    Tian Guan-jun
    2015 NINTH INTERNATIONAL CONFERENCE ON FRONTIER OF COMPUTER SCIENCE AND TECHNOLOGY FCST 2015, 2015, : 196 - 199
  • [46] UKF Sensor Fusion Method Based on Principal Component Analysis
    Yang Jian-ye
    Dang Shu-wen
    He Fa-jiang
    Cheng Peng-zhan
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION PROCESSING (ICCIP 2017), 2017, : 247 - 251
  • [47] Attitude Determination Method and Experimental Research Based on MEMS IMU and Magnetoresistive Sensor
    Wang, Lei
    Xu, Jiulong
    Hao, Yongping
    Li, Hui
    2014 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (IEEE ICMA 2014), 2014, : 1440 - 1445
  • [48] Nontraditional UKF Based Nanosatellite Attitude Estimation with the Process and Measurement Noise Covariances Adaptation
    Hajiyev, Chingiz
    Guler, Demet Cilden
    Soken, Halil Ersin
    PROCEEDINGS OF 8TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES (RAST 2017), 2017, : 381 - 386
  • [49] Tracking the attitude of an aircraft with a single imaging sensor using numerical optimization-based methods
    Park, Y
    Shin, S
    Chun, J
    PARALLEL AND DISTRIBUTED METHODS FOR IMAGE PROCESSING IV, 2000, 4118 : 38 - 48
  • [50] Attitude estimation method based on fusion of geomagnetic and infrared radiation
    He Z.
    Yu J.
    Bu X.
    Xu M.
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2019, 27 (01): : 72 - 76