Nonlinear Hydraulic System Control using Fuzzy PID Controller

퍼지 PID제어기를 이용한 비선형 유압시스템의 제어

  • 김인환 (진주산업대학교 기계설계공학과)
  • Published : 1999.07.01

Abstract

In order to control systems which contain nonlinearities control strategies must deal with the effects of them. Since most of control methods based on system mathematical models have been mainly developed focused on stability robustness against nonlinearities or uncertainties under the assumption that controlled systems are linear time invariant they have certain amount of limita-tions to smartly improve control perfomances of systems disturbed by nonlinearities or uncertainties. In this paper the fuzzy PID control law is suggested which can improve control performances of the nonlinear heavy load hydraulic systems disturbed by nonlinearities and uncertainties. Although the derivation process is based on the design process similar to general fuzzy logic con-troller resultant control law has analytical forms with time varying PID gains rather than linguis-tic forms so that implementation using commn-used versatile microprocessors can be achieved easily and effectively in real-time control aspect.

Keywords

References

  1. IEEE Trans. on Automatic Control v.AC-26 Multivariable Feedback Design : Concepts for a Classica/Modern Synthesis Doyle, J. C.;Stein, G.
  2. IEEE Trans. on Automatic Control v.AC-26 Feedback Properties of Multivariable Systems : The Role and Use of the Return Difference Matrix Safonov, M. G.;Laub, A. J.;Hartmann, G. L.
  3. Inform. Contr. v.8 Fuzzy Sets Zadeh, L. A.
  4. Proc. IEEE v.121 Applications of Fuzzy Algorithm of Simple Dynamic Plant Mamdani, E. H.
  5. Information Science v.36 An Introductory Survey of Fuzzy Control Sugeno, M.
  6. IEEE Trans. on Systems, Man, and Cybernetics v.SMC-20 no.2 Fuzzy Logic in Control Systems : Fuzzy Logic Controller - Part Ⅰ Lee, C. C.
  7. Fuzzy Sets and Systems v.45 Stability Analysis and Design of Fuzzy Control System Tanaka, K.;Sugeno, M.
  8. Fuzzy Sets and Systems v.48 A Stability Approach to Fuzzy Control Design for Nonlinear System Hwang, G. C.;Lin, S. C.
  9. Automatica v.26 Fuzzy control Theory : A Nonlinear case Ying, H.;Siler, W.;Buckley, J. J.
  10. Automatica v.30 Practical Design of Nonlinear Fuzzy Controller with Stability Analysis for Regulating, Processes with Unknown Mathematical Models Ying, H.
  11. A Suggestion of Nonlinear PID Controller to Improve Transient Responses of Nonlinear of Uncertain System v.5 no.4 Kim, J. H.
  12. Adaptive Fuzzy Systems and Control Wang, L. X.