Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Analytic coarse alignment and calibration for inertial navigation system on swaying base assisted by star sensor

Initial alignment and positioning assisted by star sensors have been a popular research direction for the inertial navigation system. In this study, an analytic method is proposed to achieve the integration implementation of coarse alignment, calibration and positioning for swaying base. Gyroscope bias, accelerometer bias and attitude estimations are given in analytical forms on the basis of the attitude matrix provided by the star sensor. Positioning can be realised by transforming the accelerometer calibration part when the position information is not available. Compared with the previous approaches, the proposed method establishes the intuitive relationship between the navigation parameters and sensor errors, and is easy to implement. Furthermore, the proposed method can be extended to moving base when the velocity measurement is available. Both the simulation and experimental results show that the proposal analytic method can provide both good initial attitude and sensor parameters for fine alignment process.

References

    1. 1)
      • 6. Qin, Y., Yan, G., Gu, D., et al: ‘A clever way of SINS coarse alignment despite rocking ship’, J. North Western Polytechnical Univ., 2005, 23, (5), pp. 681684.
    2. 2)
      • 10. Wang, Q., Diao, M., Gao, W., et al: ‘Integrated navigation method of a marine strapdown inertial navigation system using a star sensor’, Meas. Sci. Technol., 2015, 26, (11), p. 115101.
    3. 3)
      • 2. Wang, Q., Li, Y., Diao, M., et al: ‘Coarse alignment of a shipborne strapdown inertial navigation system using star sensor’, IET Sci. Meas. Technol., 2015, 9, (7), pp. 852860.
    4. 4)
      • 3. Lu, J., Xie, L., Li, B.: ‘Analytic coarse transfer alignment based on inertial measurement vector matching and real-time precision evaluation’, IEEE Trans. Instrum. Meas., 2016, 65, (2), pp. 355364.
    5. 5)
      • 12. Lu, J., Lei, C., Yang, Y., et al: ‘A high-accuracy two-position alignment inertial navigation system for lunar rovers aided by a star sensor with a calibration and positioning function’, Meas. Sci. Technol., 2016, 27, (12), pp. 111.
    6. 6)
      • 5. Gaiffe, T., Cottreau, Y., Faussot, N., et al: ‘Highly compact fiber optic gyrocompass for applications at depths up to 3000 meters’. IEEE Int. Symp. Underwater Technology, Tokyo, Japan, May 2000, pp. 155160.
    7. 7)
      • 4. Jiang, Y.: ‘Error analysis of analytic coarse alignment methods’, IEEE Trans. Aerosp. Electron. Syst., 1998, 34, (1), pp. 334337.
    8. 8)
      • 8. Gao, W., Zhao, B., Zhou, G., et al: ‘Improved artificial bee colony algorithm based gravity matching navigation method’, Sensors, 2014, 14, pp. 1296812989.
    9. 9)
      • 9. Schmidtbauer, B.: ‘High-accuracy sounding rocket attitude estimation using star sensor data’, IEEE Trans. Aerosp. Electron. Syst., 1978, 14, (6), pp. 891898.
    10. 10)
      • 13. Yang, Y., Zhang, C., Lu, J.: ‘Local observability analysis of star sensor installation errors in a SINS/CNS integration system for near-earth flight vehicles’, Sensors, 2017, 17, pp. 113.
    11. 11)
      • 7. Sun, F., Sun, W.: ‘Mooring alignment for marine sins using the digital filter’, Measurement, 2010, 43, (10), pp. 14891494.
    12. 12)
      • 1. Wu, Y., Wang, J., Hu, D.: ‘A new technique for INS/GNSS attitude and parameter estimation using online optimization’, IEEE Signal Process. Mag., 2014, 62, (10), pp. 26422655.
    13. 13)
      • 11. Guan, X., Wang, X., Fang, J., et al: ‘An innovative high accuracy autonomous navigation method for the Mars rovers’, Acta Astronaut.., 2014, 104, (1), pp. 266275.
    14. 14)
      • 14. Lu, J., Yang, L., Zhang, H.: ‘A hybrid method for accurate star tracking using star sensor and gyros’, Rev. Sci. Instrum., 2017, 105004, pp. 18.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-smt.2017.0535
Loading

Related content

content/journals/10.1049/iet-smt.2017.0535
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address