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Implementation of Real-Time Fuzzy Controller for SCARA Type Dual-Arm Robot

스카라형 이중 아암 로봇의 실시간 퍼지제어기 실현

  • 김홍래 (경남대학교 기계설계과) ;
  • 한성현 (경남대학교 기계자동화공학부)
  • Published : 2004.12.01

Abstract

We present a new technique to the design and real-time implementation of fuzzy control system basedon digital signal processors in order to improve the precision and robustness for system of industrial robot in this paper. The need to meet demanding control requirement in increasingly complex dynamical control systems under significant uncertainties, leads toward design of intelligent manipulation robots. The TMS320C80 is used in implementing real time fuzzy control to provide an enhanced motion control for robot manipulators. In this paper, a Self-Organizing Fuzzy Controller for the industrial robot manipulator with a actuator located at the base is studied. A fuzzy logic composed of linguistic conditional statements is employed by defining the relations of input-output variables of the controller. In the synthesis of a Fuzzy Logic Controller, one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult Self-Organizing Fuzzy Controller is proposed for a hierarchical control structure consisting of basic and high levels that modify control rules. The proposed Self-Organizing Fuzzy Controller scheme is simple in structure, fast in computation, and suitable for implementation of real-time control. Performance of the SOFC is illustrated by simulation and experimental results for a Dual-Arm robot with eight joints.

Keywords

References

  1. R. Transheit and E. M. Sharf, 'Experiments with the use of a rule-based self-organizing controller for robotics application', Fuzzy sets and Systems, vol. 26, pp. 195-214, 1988 https://doi.org/10.1016/0165-0114(88)90208-4
  2. H. T. Jeon, ed., 'Fuzzy-neural special lecture note', San 14, Nongseo-ri Kiheung-Yeup Kyungki-do, Korea: Sam Sung Advanced Institute of Technology, Jan., 1992
  3. M. Braae and D. A. Rutherford, 'Selection of parameters for a fuzzy login controller', Fuzzy set and Systems, vol. 2, pp. 185-199, 1979 https://doi.org/10.1016/0165-0114(79)90026-5
  4. S. Shao, 'Fuzzy self-organizing controller and It's application for dynamic process', Fuzzy sets and Systems, vol. 26, pp. 151-164, 1988 https://doi.org/10.1016/0165-0114(88)90205-9
  5. W. J. Book, 'Feedback control of two beam two joint systems with distributed flexibility', Journal of Dynamic System, Measurement, and Control, pp. 425, December, 1975
  6. F. H. Haung, 'Efficient computer implementation of a tule-base three-term controller', Proceedings of the 27th conference on decision and control, December, 1988
  7. C. S. Hsu, 'A theory of cell-to-cell mapping dynamical systems', ASME Trans. J. Dynam. Syst. Meas. Contr., vol. 47, pp. 931-939, 1980
  8. Y. F. Li, April, 'Development of fuzzy algorithms for servo systems', IEEE control Systems Magazine, 1989 https://doi.org/10.1109/37.24814
  9. M. Braae, D. A. Rutherford, 'Theoretical and lingustic aspects of the fuzzy logic controller', Automatica, vol. 15, pp. 553-577, 1979 https://doi.org/10.1016/0005-1098(79)90005-0
  10. P. J. King and E. H. Mandani, 'The application of fuzzy control system to industrial process', Automatica, vol. 13, pp. 235-242, 1997 https://doi.org/10.1016/0005-1098(77)90050-4
  11. K. I. Tang, 'Comparing fuzzy logical with classical controller designes', IEEE Transactions on Systems, Man, Cybernatics, vol. SMC-17. no. 6, November/December, 1987
  12. T. J. Procky and E. H. Mandani, 'A linguistic self-organizing process controller,' pp. 425, December, 1975