About this Journal Submit a Manuscript Table of Contents
Abstract and Applied Analysis
Volume 2013 (2013), Article ID 737146, 7 pages
http://dx.doi.org/10.1155/2013/737146
Research Article

Positioning Errors Predicting Method of Strapdown Inertial Navigation Systems Based on PSO-SVM

Space Control and Inertial Technology Research Center, Harbin Institute of Technology, Harbin 150001, China

Received 13 July 2013; Revised 27 July 2013; Accepted 27 July 2013

Academic Editor: Hamid Reza Karimi

Copyright © 2013 Xunyuan Yin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Y. Wu, X. Hu, M. Wu, and D. Hu, “Strapdown inertial navigation using dual quaternion algebra: error analysis,” IEEE Transactions on Aerospace and Electronic Systems, vol. 42, no. 1, pp. 259–266, 2006. View at Publisher · View at Google Scholar · View at Scopus
  2. Y. Qin, Inertial Navigation, Science Press, Beijing, China, 2009.
  3. X. He, W. Wang, and J. Huang, “Characteristics of gyro error propagation on FOG-SINS,” Journal of Chinese Inertial Technology, vol. 15, no. 4, pp. 407–411, 2007.
  4. J. S. Stambaugh, “Propagation and system accuracy impact of major sensor errors on a strapdown aircraft navigator,” IEEE Transactions on Aerospace and Electronic Systems, vol. 9, no. 6, pp. 838–846, 1973. View at Scopus
  5. F. Sun, Y.-Y. Ben, and W. Gao, “Application of spiral theory in strapdown inertial navigation algorithm,” Systems Engineering and Electronics, vol. 29, no. 9, pp. 1532–1535, 2007. View at Scopus
  6. Y. Hao, J. Gong, W. Gao, and L. Li, “Research on the dynamic error of strapdown inertial navigation system,” in Proceedings of the IEEE International Conference on Mechatronics and Automation (ICMA '08), pp. 814–819, August 2008. View at Publisher · View at Google Scholar · View at Scopus
  7. F. Gómez-Estern and F. Gordillo, “Error analysis in strapdown INS for aircraft assembly lines,” in Proceedings of the 10th International Conference on Control, Automation, Robotics and Vision (ICARCV '08), pp. 184–189, Hanoi, Vietnam, December 2008. View at Publisher · View at Google Scholar · View at Scopus
  8. W. Gao, B. Cao, Y. Ben, and B. Xu, “Analysis of gyro's slope drift affecting inertial navigation system error,” in Proceedings of the IEEE International Conference on Mechatronics and Automation (ICMA '09), pp. 3757–3762, Changchun, China, August 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. H. Musoff and J. H. Murphy, “Study of strapdown navigation attitude algorithms,” Journal of Guidance, Control, and Dynamics, vol. 18, no. 2, pp. 287–290, 1995. View at Scopus
  10. J. Wang and H. Gu, “Compensation algorithm of device error for rate strapdown inertial navigation system,” in Proceedings of the 1st International Conference on Intelligent Networks and Intelligent Systems (ICINIS '08), pp. 667–670, Wuhan, China, November 2008. View at Publisher · View at Google Scholar · View at Scopus
  11. Y.-H. Qiao, Y. Liu, B.-K. Su, and M. Zeng, “Test method for error model coefficients of pendulous integrating gyro accelerometer on centrifuge,” Journal of Astronautics, vol. 28, no. 4, pp. 854–931, 2007. View at Scopus
  12. T. L. Chen, Estimate at completion for construction projects using evolutionary fuzzy neural inference model [M.S. thesis], Department of Construction Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, 2008.
  13. J. A. K. Suykens, J. De Brabanter, L. Lukas, and J. Vandewalle, “Weighted least squares support vector machines: robustness and sparce approximation,” Neurocomputing, vol. 48, no. 4, pp. 85–105, 2002. View at Publisher · View at Google Scholar · View at Scopus
  14. G. L. Plett, “Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs—part 2: modeling and identification,” Journal of Power Sources, vol. 134, no. 2, pp. 262–276, 2004. View at Publisher · View at Google Scholar · View at Scopus
  15. L. Zhang, “H estimation for discrete-time piecewise homogeneous Markov jump linear systems,” Automatica, vol. 45, no. 11, pp. 2570–2576, 2009. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  16. L. Zhang and E.-K. Boukas, “Stability and stabilization of Markovian jump linear systems with partly unknown transition probabilities,” Automatica, vol. 45, no. 2, pp. 463–468, 2009. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  17. L. Zhang and E.-K. Boukas, “Mode-dependent H filtering for discrete-time Markovian jump linear systems with partly unknown transition probabilities,” Automatica, vol. 45, no. 6, pp. 1462–1467, 2009. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  18. L. Zhang, P. Shi, E.-K. Boukas, and C. Wang, “H model reduction for uncertain switched linear discrete-time systems,” Automatica, vol. 44, no. 11, pp. 2944–2949, 2008. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  19. L. Zhang, E.-K. Boukas, and A. Haidar, “Delay-range-dependent control synthesis for time-delay systems with actuator saturation,” Automatica, vol. 44, no. 10, pp. 2691–2695, 2008. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  20. S. R. Gunn, M. Brown, and K. M. Bossley, “Network performance assessment for neurofuzzy data modeling,” Advances in Intelligent Data Analysis Reasoning About Data, vol. 1280, pp. 313–323, 1997.
  21. T. Hansen and C.-J. Wang, “Support vector based battery state of charge estimator,” Journal of Power Sources, vol. 141, no. 2, pp. 351–358, 2005. View at Publisher · View at Google Scholar · View at Scopus
  22. J. Nong, “Parameters selection and noise estimation of SVM regression,” in Proceedings of the 5th International Joint Conference on Computational Sciences and Optimization, pp. 379–381, Harbin, China, 2012.
  23. K.-W. Yan, “Study on the forecast of air passenger flow based on SVM regression algorithm,” in Proceedings of the 1st International Workshop on Database Technology and Applications (DBTA '09), pp. 325–328, Wuhan, China, April 2009. View at Publisher · View at Google Scholar · View at Scopus
  24. P. G. Savage, “Strapdown inertial navigation integration algorithm design—part 1: attitude algorithms,” Journal of Guidance, Control, and Dynamics, vol. 21, no. 1, pp. 19–28, 1998. View at Scopus
  25. T. Hansen and C.-J. Wang, “Support vector based battery state of charge estimator,” Journal of Power Sources, vol. 141, no. 2, pp. 351–358, 2005. View at Publisher · View at Google Scholar · View at Scopus
  26. J. C. Alvarez Anton, P. J. Garcia Nieto, C. Blanco Viejo, and J. A. Vilan Vilan, “Support vector machines used to estimate the battery state of charge,” IEEE Transactions on Power Electronics, vol. 28, no. 12, pp. 5919–5926, 2013.
  27. I. Steinwart, D. Hush, and C. Scovel, “An explicit description of the reproducing Kernel Hilbert spaces of Gaussian RBF kernels,” IEEE Transactions on Information Theory, vol. 52, no. 10, pp. 4635–4643, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  28. Y.-J. Oyang, S.-C. Hwang, Y.-Y. Ou, C.-Y. Chen, and Z.-W. Chen, “Data classification with radial basis function networks based on a novel kernel density estimation algorithm,” IEEE Transactions on Neural Networks, vol. 16, no. 1, pp. 225–236, 2005. View at Publisher · View at Google Scholar · View at Scopus
  29. G. F. Smits and E. M. Jordaan, “Improved SVM regression using mixtures of kernels,” in Proceedings of the International Joint Conference on Neural Networks (IJCNN '02), pp. 2785–2790, Honolulu, Hawaii, USA, May 2002. View at Scopus
  30. H. Wang, Z. Hu, M. Hu, and Z. Zhang, “Short-term prediction of wind farm power based on PSO-SVM,” in Proceedings of the Power and Energy Engineering Conference, pp. 1–4, Shanghai, China, 2012.
  31. Y. Bazi and F. Melgani, “Semisupervised PSO-SVM regression for biophysical parameter estimation,” IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 6, pp. 1887–1895, 2007. View at Publisher · View at Google Scholar · View at Scopus
  32. M. Pastorino and A. Randazzo, “The SVM-based smart antenna for estimation of the directions of arrival of electromagnetic waves,” IEEE Transactions on Instrumentation and Measurement, vol. 55, no. 6, pp. 1918–1925, 2006. View at Publisher · View at Google Scholar · View at Scopus