Temperature error modeling of RLG based on neural network optimized by pso and regularization

IEEE Sensors Journal

Volumn 14, Issue 3, 2014, Pages 912-919

  Jianli, Li ^a   Feng, Jiao ^a   Jiancheng, Fang ^a   Junchao, Cheng ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

neural network; particle swarm optimization; regularization; ring laser gyroscope; Temperature error

Indexed keywords

ENVIRONMENTAL ADAPTABILITY; POSITION AND ORIENTATION SYSTEMS; RADIAL BASIS FUNCTION NEURAL NETWORKS; REGULARIZATION; REGULARIZATION APPROACH; RING LASER GYROSCOPE; TEMPERATURE CONDITIONS; TEMPERATURE ERROR;

GYROSCOPES; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); RING LASERS;

TEMPERATURE MEASUREMENT;

EID: 84893303087     PISSN: 1530437X     EISSN: None     Source Type: Journal    
DOI: 10.1109/JSEN.2013.2290699     Document Type: Article

References (22)

1. J. L. Li and J. C. Fang, "Kinetics and design of a mechanically dithered ring laser gyroscope position and orientation system," IEEE Trans. Instrum. Meas., vol. 62, no. 1, pp. 210-220, Jan. 2013.
2. S. N. Wisitsak, S. Chaiwat, S. Keerayoot, M. Somsak, and Y. Preecha, "Micro-optical gyroscope using a PANDA ring resonator," IEEE Sensors J., vol. 12, no. 8, pp. 2609-2613, Aug. 2012.
3. J. C. Fang and S. Yang, "Study on innovation adaptive EKF for in-flight alignment of airborne POS," IEEE Trans. Instrum. Meas., vol. 60, no. 4, pp. 1378-1388, Apr. 2011.
4. J. C. Cheng and J. C. Fang, "Comparison of compensation methods on RLG temperature error and their application in POS," in Proc. 8th Int. Symp. Instrum. Control Technol., Jul. 2012, pp. 189-194.
5. M. Kirkko-Jaakkola, J. Collin, and J. Takala, "Bias prediction for MEMS gyroscopes," IEEE Sensors J., vol. 12, no. 6, pp. 2157-2163, Jun. 2012.
6. C. Guo, Y. J. Xu, and X. N. Zhao, "Investigation on the temperature compensating model for ring laser gyroscope," Chin. Opt. Lett., vol. 4, no. 10, pp. 576-579, Oct. 2006. (Pubitemid 44882007)
7. W. S. Hong, K. S. Lee, and B. S. Paik, "The compensation method for thermal bias of ring laser gyro," in Proc. 21st Annu. Meeting IEEE Lasers Electro-Opt. Soc., Nov. 2008, pp. 723-724.
8. S. M. Nejad and M. Pourmahyabadi, "Performance modeling of ring laser gyro in inertial navigation," Iranian J. Electr. Electron. Eng., vol. 2, no. 3, pp. 82-90, Jul. 2006.
9. J. L. Li, J. C. Fang, and M. Du, "Error analysis and gyro-bias calibration of analytic coarse alignment for airborne POS," IEEE Trans. Instrum. Meas., vol. 61, no. 11, pp. 3058-3064, Nov. 2012.
10. G. Wei, G. Li, Y. Wu, and X. W. Long, "Application of least squaressupport vector machine in system-level temperature compensation of ring laser gyroscope," Measurement, vol. 44, no. 10, pp. 1898-1903, 2011.
11. Q. Zhang, X. F. Liu, J. Zhan, and G. M. Chen, "Temperature modeling study for high precision gyroscope based on neural network," in Proc. Int. Symp. Intell. Ubiquitous Comput. Educ. Location, May 2009, pp. 85-87.
12. Y. M. Shao, Z. Zhao, L. Wang, and H. O. He, "Drift data modeling of laser gyro based on neural networks," in Proc. Int. Symp. Instrum. Sci. Technol., vol. 48. 2006, pp. 128-133.
13. Q. Hua, Y. Gao, X. Z. Wang, and B. Y. Zhao, "A new approach to improving generalization ability of feed-foward neural networks," in Proc. Int. Conf. Mach. Learn. Cybern., Jul. 2010, pp. 1413-1419.
14. P. X. Yang, Y. Y. Qin, and J. C. You, "Temperature compensation for RLG based on neural network," in Proc. 6th Int. Symp. Precis. Eng. Meas. Instrum., vol. 7544. Mar. 2010, pp. 1-6.
15. G. Y. Wu and Q. T. Gu, "Thermal characteristics and thermal compensation of four frequency ring laser gyro," in Proc. 6th Int. Symp. Posit. Location Navigat. Symp., Apr. 2002, pp. 271-275.
16. A. Moghtaderi, P. Flandrin, and P. Borgnat, "Trend filtering via empirical mode decompositions," Comput. Statist. Data Anal., vol. 58, pp. 114-126, Feb. 2013.
17. H. T. Liu, Z. W. Ni, and J. Y. Li, "Extracting trend of time series based on improved empirical mode decomposition method," in Proc. 9th Asia-Pacific Web Conf. Adv. Data Web Manag., Jun. 2007, pp. 341-349.
18. C. L. Fan, Z. H. Jin, W. F. Tian, and F. Qian, "Temperature drift modeling of fibre optic gyroscopes based on a grey radial basis neural network," Meas. Sci. Technol., vol. 15, no. 1, pp. 119-126, Jan. 2004. (Pubitemid 38158224)
19. L. Franco, J. Jerez, and J. Bravo, "Role of function complexity and network size in the generalization ability of feedforward networks," in Proc. 8th Int. Workshop Artif. Neural Netw., Vilanovaila Geltru, Spain, Jun. 2005, pp. 1-8. (Pubitemid 41342959)
20. S. Kitayama, K. Yasuda, and K. Yamazaki, "Integrative optimization by RBF network and particle swarm optimization," Electron. Commun. Jpn., vol. 92, no. 12, pp. 31-42, 2009.
21. A. Abdelrahman, S. Siddharth, S. Zainab, and E. S. Naser, "Swarm optimization-based magnetometer calibration for personal handheld devices," Sensors, vol. 12, pp. 12455-12472, Sep. 2012.
22. Y. Shi and R. C. Eberhart, "A modified particle swarm optimizer," in Proc. IEEE Int. Conf. Evol. Comput., Piscataway, NJ, USA, May 1998, pp. 69-73.