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Robust Tracker Design Method Based on Multi-Trajectories of Aircraft

  • Kim, Eung-Tai (Aircraft Division, Korea Aerospace Research Institute) ;
  • Andrisani, D. II (Aeronautical and Astronautical Engineering Department, Purdue University)
  • Published : 2002.05.30

Abstract

This paper presents a robust tracker design method that is specific to the trajectories of target aircraft. This method assumes that representative trajectories of the target aircraft are available. The exact trajectories known to the tracker enables the incorporation of the exact data in the tracker design instead of the measurement data. An estimator is designed to have acceptable performance in tracking a finite number of different target trajectories with a capability to trade off the mean and maximum errors between the exact trajectories and the estimated or predicted trajectories. Constant estimator gains that minimize the cost functions related to the estimation or prediction error are computed off-line from an iterative algorithm. This tracker design method is applied to the longitudinal motion tracking of target aircraft.

Keywords

References

  1. Haddad, W. M., and Bernstein, D. S., 1988, "Robust, Reduced-Order, Nonstrictly Proper State Estimation via the Optimal Projection Equations with Guaranteed Cost Bounds," IEEE Transactions on Automatic Control, Vol. AC-33, June, pp. 591-595
  2. Haddad, W. M., and Bernstein, D. S., 1989, "Steady-State Kalman Filtering with an $H_{\infty}$ Error Bounds," Systems & Control Letters, Vol. 12, pp. 9-16 https://doi.org/10.1016/0167-6911(89)90089-3
  3. Kharg onekar, P. P., and Negpal, K.N., 1989, "Filtering and Smoothing in an $H_{\infty}$ Setting," Proceedings of 2th IEEE Conference on Decision and Control, pp, 415-420
  4. Kim, E. T., and Andrisani, D., 1993, "Design of An Robust Estimator for Target Tracking," AIAA Journal of Guidance, Control and Dynamics. Vol. 16, No. 3, pp, 595-597 https://doi.org/10.2514/3.21052
  5. Kim, E., and Andrisani, D., 2001, "Design of a Robust Target Tracker for Parameter Variations and Unknown Inputs," KSAS International Journal, Vol. 2, No. 2, November, pp. 73-81
  6. Gelb, A., 1974, Applied Optimal Estimation, the M.I.T. Press, pp, 108-110
  7. Anderson, B.D.O., and Moore, J.B, 1984, Optimal Filtering, Prentice Hall, Inc..
  8. Luenberger, D.G., 1984, Linear and Nonlinear programming, Addison-Wesley.
  9. Goodwin, G.C., and Payne, R.L., 1977, Dynamic System Identification: Experiment Design and Data Analysis, Academic Press, New York.
  10. McRuer, D., Ashkenas, I., and Graham, D., 1973, Aircraft Dynamics and Automatic Control, Princeton University Press
  11. Heffley, R.K., and Jewell, W.F. 1972, Aircraft Handling Qualities Data, NASA CR 2144, December.