Adaptive High Precision Control of Lime-of Sight Stabilization System

시선 안정화 시스템의 고 정밀 적응제어

  • Jeon, Byeong-Gyun (Agency for Defense Development) ;
  • Jeon, Gi-Jun (School of Electronic & Electrical Engineering, Kyungpook National University)
  • Published : 2001.01.01

Abstract

We propose an adaptive nonlinear control algorithm for high precision tracking and stabilization of LOS(Line-of-Sight). The friction parameters of the LOS gimbal are estimated by off-line evolutionary strategy and the friction is compensated by estimated friction compensator. Especially, as the nonlinear control input in a small tracking error zone is enlarged by the nonlinear function, the steady state error is significantly reduced. The proposed algorithm is a direct adaptive control method based on the Lyapunov stability theory, and its convergence is guaranteed under the limited modeling error or torque disturbance. The performance of the pro-posed algorithm is verified by computer simulation on the LOS gimbal model of a moving vehicle.

References

  1. B. Friedland and Y. J. Park, 'On Adaptive Friction Compensation,' IEEE Transactions On Automatic Control, vol. 37, no. 10, pp. 1609-1612, October, 1992 https://doi.org/10.1109/9.256395
  2. Y. S. Kang, Friction Identification of a Sight Stabilization System and Feasibility Study on its Application to Control Performance Imporvement, Ph.D dissertion KAIST, KOREA, 1997
  3. J. O. Jang, B. G. Jeon and G. J. Jeon, 'Neuro-controller design for the line of sight stabilization system containing nonlinear friction,' Journal of Control, Automation and Systems Engineering, vol. 3, no. 2, pp. 139-148, April, 1997
  4. W. Li and X. Cheng, 'Adaptive high-precision control of positioning tables-theory and experiments,' IEEE Transactions on Control Systems Technology, vol. 2, no. 3, pp. 265-270, September, 1994 https://doi.org/10.1109/87.317983
  5. C. Canudas de Wit, H. Olsson, K. J Astrom, and P. Lischinsky, 'A new model for control of system with friction,' IEEE Transactions on Automatic Control, vol. 40, no. 3, pp. 419-425, March, 1995 https://doi.org/10.1109/9.376053
  6. B. Armstrong-Helouvry, P. Dupont, and C. Canu-das de Wit, 'A survey of models, analysis tools and compensation methods for the control of machines with friction,' Automatica, vol. 30, no. 7, pp. 1083-1138. 1994 https://doi.org/10.1016/0005-1098(94)90209-7
  7. P. Dahl, 'Solid friction damping of mechanical vibrations,' AIAA Journal, vol. 14, no. 12, pp. 1675-1682, 1976
  8. D. A. Haessig and B. Friedland, 'On the modeling and simulation of friction,' ASME Journal of Dynamic Systems, Measurement, and Control, vol. 113, pp. 354-362, 1991
  9. J. H. Kim, H. K. Chae, J. Y. Jeon, and S. W. Lee, 'Identification and control of systems with friction using accelerated evolutionary programing,' IEEE Control systems, pp. 38-47, August, 1996 https://doi.org/10.1109/37.526914
  10. J.-J. E. Slotine and W. Li, Applied Nonlinear Control. NJ : Prentice Hall, 1991
  11. Y. Waltec, 'Gunner's primary sight subsystem development specification,' Spec. No. SB-BB17100C, General Dynamics Land System Division, Nov., 1982