International Journal of Aeronautical and Space Sciences

The Korean Society for Aeronautical and Space Sciences (한국항공우주학회)
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Study on Satellite Vibration Control using Adaptive Control Scheme

  • Oh, Se-Boung (Department of Aerospace Engineering Korea Advanced Institute of Science and Technology(KAIST)) ;
  • Oh, Choong-Seok (Department of Aerospace Engineering Korea Advanced Institute of Science and Technology(KAIST)) ;
  • Bang, Hyo-Choong (Department of Aerospace Engineering Korea Advanced Institute of Science and Technology(KAIST))
  • Published : 2005.12.31
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Abstract

Adaptive control methods are studied for the Satellite to isolate vibration in spite of the nonlinear system dynamics and parameter uncertainties of disturbance. First, a centralized control scheme is developed based on the particle swarm optimization(PSO) algorithm and feedback theory to automatically tune controller gains. A simulation study of a 3 degree-of-freedom device was conducted to evaluate the performance of the proposed control scheme. Next, since a centralized control scheme is hard to construct model dynamics and not goad at performance when controller and systems environment are easily changed, a decentralized control scheme is presented to avoid these defects of the centralized control scheme from the point of view of production and maintenance. It is based on the adaptive control methodologies to find PID controller parameters. Experiment studies were conducted to apply the adaptive control scheme and evaluate the performance of the proposed control scheme with those of the conventional control schemes.

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References

  1. P. Mayhan, and G. Washington, 'Robust Intelligent Control of Structures Using Piezoceramic Materials', Proceedings of the SPIE Conference on Mathematics and Control in Smart Structures, Vol. 3323, pp. 336-345, 1998
  2. K. Passino, 'Bridging the Gap Between Conventional and Intelligent Control', IEEE Control Systems Magazine, Vol. 13, No. 3, pp. 12-18, 1993 https://doi.org/10.1109/37.214940
  3. R.P. Ma, and A. Sinha, 'A Neural Network Based Active Vibration Absorber with State Feedback Control', Journal of Sound and vibration, Vol. 190, No. 1, pp. 121-128, 1996 https://doi.org/10.1006/jsvi.1996.0050
  4. L.J. Eriksson, M.C. Allie, and R.A. Greiner, 'The Selection and Application of an IIR Adaptive Filter for Use in Active Sound Attenuation', IEEE Transactions on Acoustics, Speech, and Signal Processing, VoI.ASSP-35, No. 4, pp. 433-437, 1987
  5. W.T. Baumann, 'An Adaptive Feedback Approach to Structural Vibration Suppression', Journal of Sound and Vibration, Vol. 205, pp. 121-133, 1997 https://doi.org/10.1006/jsvi.1997.0986
  6. Y.D. Landau,Adaptive Control : The Model Reference Approach, Marcel Dekker, 1979
  7. G.C. Goodwin, and K.S. Sin, Adaptive Filtering, Prediction and Control, McGraw-Hill, 1983
  8. K.S. Narendra, and R.V. Monopoli, Applications of Adaptive Control, Academic Press, 1980
  9. A.J. Koive, and T.H. Guo, 'Adaptive Linear Controller for Robotic Manipulators', IEEE Transaction on Acoustic Control, VoI.AC-28, No. 2, pp. 162-171, 1983
  10. G. Leininger, 'Self-Tuning Control of Manipulators', International Symposium on Advanced Software in Robotics, Liege, Belgium, pp. 81-96, 1983
  11. M.S. Kang, 'Disturbance Compensation Control by FXLMS Algorithm', Journal of the Korean Society of Precision Engineering, Vol. 20, No. 11, pp. 100-107, 2003
  12. Y. Gong, Y. Song, and S.J. Liu, 'Performance analysis of the unconstrained FXLMS algorithm for active noise control', Proceeding of IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 5, pp. 569-572, 2003
  13. P. Ramos, A. Salinas, and A. Lopez, 'Practical implementation of a multiple-channel FxLMS Active Noise Control system with shaping of the residual noise inside a Van', International symposium on active control of sound and vibration, pp. 303-314, 2002
  14. K. Miller, 'The proposal of a new model of direct-drive robot DELTA-4 dynamics', the International Conference on Advanced Robot, 1993
  15. P.A. Ioannou, 'Decentralized Adaptive Control of Interconnected Systems', IEEE Transactions on Automatic Control, VoI.AC-31, No. 4, pp. 291-298, 1986
  16. R. Bellman, 'The stability of Solutions of Linear Differential Equations', Duke Mathematical Journal, Vol. 10, pp. 63-647, 1943
  17. Ya.Z. Tsypkin, Foundations of the Theory of Learning Systems, Academic Press, New York, 1973
  18. P.C. Parks, 'Liapunov Redesign of Model Reference Adaptive Control Systems', IEEE Transactions on Automatic Control, VoI.AC-11, No .3, pp. 362-367, 1966
  19. K.S. Narendra, Y.H. Lin, and L.S. Valavani, 'Stable Adaptive Controller Design, Part II: Proof of Stability', IEEE Transactions on Automatic Control, VoI.AC-25, No. 3, pp. 440-448, 1980