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http://dx.doi.org/10.3795/KSME-A.2006.30.8.897

Experimental Design of Disturbance Compensation Control to Improve Stabilization Performance of Target Aiming System  

Lim Jae-Keun ((주)바른기술)
Kang Min-Sig (경원대학교 기계공학과)
Lyou Joon (충남대학교 전기정보통신공학부)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.30, no.8, 2006 , pp. 897-905 More about this Journal
Abstract
This study considers an experimental design of disturbance compensation control to improve stabilization performance of main battle tanks. An adaptive non-parametric design technique based on the Filtered-x Least Mean Square(FXLMS) algorithm is applied in the consideration of model uncertainties. The optimal compensator is designed by two-step design procedures: determination of frequency response function of the disturbance compensator which can cancel the disturbance of series of single harmonics by using the FXLMS algorithm and determination of the compensator polynomial which can fit the frequency response function obtained in the first step optimally by using a curve fitting technique. The disturbance compensator is applied to a simple experimental gun-torsion bar-motor system which simulates gun driving servo-system. Along with experimental results, the feasibility of the proposed technique is illustrated. Experimental results demonstrate that the proposed control reduces the standard deviation of stabilization error to 47.6% that by feedback control alone. The directional properties of the FXLMS Algorithm such as the direction of convergence and its convergence speed are also verified experimentally.
Keywords
Target Aiming System; Stabilization; Disturbance Compensation; Filtered-X Least Mean Square Algorithm; Convergence; Initial Estimation;
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Times Cited By KSCI : 5  (Citation Analysis)
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1 Ljung, L., 1977, 'Analysis of Recursive Stochastic Algorithm,' IEEE Trans. on Automatic Control, Vol. AC-22, No. 4, pp. 551-575   DOI
2 Reason, J. and Ren, W., 1993, 'Estimating the Optimal Adaptive Gain for the LMS Algorithm,' Proceedings of CDC, San Antonio, pp. 1587-1588
3 Kang, M S. and Jung, J. S., 2004, 'Disturbance Compensation Control of An Active Magnetic Bearing System by Multiple FXLMS Algorithm-theory,' J. of KSPE , Vol. 21, No. 2, pp. 74-82   과학기술학회마을
4 Kang, M. S., 2005, 'Geometric Analysis of Convergence of FXLMS Algorithm,' Trans. of the KIEE, Vol. 54D, No. 1, pp. 40-47   과학기술학회마을
5 Widrow, B., Glover, J. R., McCool, J. M., Kaunitz, J., Williams, C. S., Hem, R. H., Zeidler, J. R., Dong, E. and Goodlin, R. C., 1975, 'Active Noise Canceling: Principles and Applications,' Proc. IEEE, Vol. 63, pp. 1692-1716   DOI   ScienceOn
6 Kim, S. J. and Lee, J. W., 1998, 'On-line Identification of Position and Current Stiffnesses in Active Magnetic Bearing System Equipped with Built-in Force Transducers by LMS Algorithm,' Trans. of the KSME(A), Vol. 22, No. 12, pp. 2261-2268
7 Oh, J. E., Kim, K. S., Hong, J. S. and Park, S. H., 1997, 'Active Vibration Control of a Flexible Cantilever Beam Using Filtered-x LMS Algorithm,' J. of KSPE, Vol. 14, No. 3, pp. 107-113   과학기술학회마을
8 Kang, M. S., 2003, 'Acceleration Feedforward Control in Active Magnetic Bearing System Subject to Base Motion by Filtered-x LMS Algorithm,' Trans. of the KSME(A), Vol. 27, No. 10, pp. 1722-1719   과학기술학회마을   DOI
9 Kuo, S. M. and Morgan, D. R, 1996, Active Noise Control Systems, A Wiley-Interscience Publication, John Wiley & Sons, Inc
10 Widrow, B. and Steams, S. D., 1985, Adaptive Signal processing, Prentice-Hall, Englewood Cliffs, NJ
11 Kang, M. S., Lyu, J., Seok, H. D. and Lim, J. K, 2004, Analysis of Stabilization Error Sources for Main Battle Tank, Proceedings of Seminar for Ground Weapon Systems Development, pp. 12-15. Agency for Defence Development Research Report
12 Kim, B. U. and Kang, E. S., 2004, 'Control of a Heavy Load Pointing System Using Neural Networks,' J. of KSPE, Vol. 21, No. 5, pp. 55-63   과학기술학회마을
13 White, M. T. and Tomizuka, M., 1997, 'Increased Disturbance Rejection in Magnetic Disk Drives by Acceleration Feedforward Control and Parameter Adaptation,' Control Engineering Practice, Vol. 5, No. 6, pp. 741-751   DOI   ScienceOn
14 Suzuki, Y., 1998, 'Acceleration Feedforward Control for Active Magnetic Bearing Excited by Ground Motion,' IEEE Proc. Control Theory Appl., Vol. 145, No. 2, pp. 113-118   DOI   ScienceOn