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A Separated Calibration Method for Inertial Measurement Units Mounted on Three-Axis Turntables.
Dong, Chun-Mei; Ren, Shun-Qing; Chen, Xi-Jun; Wang, Zhen-Huan.
Afiliação
  • Dong CM; Space Control and Inertial Technology Research Center, Harbin Institute of Technology, Harbin 150001, China. dcmjob@126.com.
  • Ren SQ; Space Control and Inertial Technology Research Center, Harbin Institute of Technology, Harbin 150001, China. renshunqing@hit.edu.cn.
  • Chen XJ; Space Control and Inertial Technology Research Center, Harbin Institute of Technology, Harbin 150001, China. chenxijun@hit.edu.cn.
  • Wang ZH; Space Control and Inertial Technology Research Center, Harbin Institute of Technology, Harbin 150001, China. zhenhuanwang@hit.edu.cn.
Sensors (Basel) ; 18(9)2018 Aug 28.
Article em En | MEDLINE | ID: mdl-30154390
ABSTRACT
Inertial Measurement Unit (IMU) calibration accuracy is easily affected by turntable errors, so the primary aim of this study is to reduce the dependence on the turntable's precision during the calibration process. Firstly, the indicated-output of the IMU considering turntable errors is constructed and with the introduction of turntable errors, the functional relationship between turntable errors and the indicated-output was derived. Then, based on a D-suboptimal design, a calibration method for simultaneously identifying the IMU error model parameters and the turntable errors was proposed. Simulation results showed that some turntable errors could thus be effectively calibrated and automatically compensated. Finally, the theoretical validity was verified through experiments. Compared with the traditional method, the method proposed in this paper can significantly reduce the influence of the turntable errors on the IMU calibration accuracy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China