Design of Robust Fuzzy Controllers via Inverse Optimal Approach

역최적화 방법을 이용한 강인한 퍼지 제어기의 설계

  • 곽기호 (고려대학교 제어계측공학과) ;
  • 임재환 (고려대학교 제어계측공학과) ;
  • 박주영 (고려대학교 제어계측공학과)
  • Published : 2001.12.01

Abstract

In this paper , we study the problem of designing TS(Takagi-Sugeno) fuzzy controllers for the systems that can be approximated or represented by the TS fuzzy model. The main strategy used in this paper is the inverse optimal approach, in which the cost function is determined later than the Lyapunov function and its corresponding control input satisfying the design requirements such as stability, decay rate, and robustness against uncertainty. This approach is useful because it yields controllers satisfying the inherent robustness of optimal controllers as well as the considered design goals. The design procedures established in this paper are all in the from of solving LMIs(Iinear matrix inequalities). Since the LMIs arising in the design procedures can be solved within a given tolerance by the interior point methods. the design method of the paper are efficient in practice. The applicability of the proposed design procedures is demonstrated by design examples.

본 논문은 TS(Takagi-Sugeno) 퍼지 모델로 근산 혹은 표현될 수 있는 비선형 시스템을 위한 TS 퍼지 제어기의 설계를 다룬다 본 논문에서 사용하는 주된 전략은, 안정도, 감쇠률 및 불확실성에 대한 강인성등의 설계요건을 만족시키는 리아푸노프 함수와 그에 대응하는 제어입력이 먼저결정된 후에 비용함수가 결정되는 역최적화 방법이다. 이러한 설계방법은, 설계요건뿐만 아니라 최적제어기 고유의 강인성까지 만족시키는 제어기를 제공하므로 매우 유용하다. 본 논문에서 확립되는 설계절차는 모두 선형행렬분등식을 푸는 형태로 이루어진다. 선형행렬부등식 문제는 내부점 방법에 의하여 주어진 허용 오차 이내에서 풀릴수 있으므로, 본 논문에서 제시하는 설계방법은 실용적인 특성을 갖는다. 제안된 설계 절차의 적용 방법은 설계 예제를 통하여 예시된다.

Keywords

References

  1. Fuzzy Sets and Systems v.70 Robust design of rule-based fuzzy controllers A. Ollero;J. Aracil;A. Garcia-Cerezo
  2. International Journal of Systems Science v.27 Quadratic stability analysis and design of continuous-time fuzzy control systems S. G. Cao;N. W. Rees;G. Feng
  3. International Journal of Systems Science v.28 Further results about quadratic stability of continuous-time fuzzy control systems S. G. Cao;N. W. Rees;G. Feng
  4. Automatica v.33 Analysis and design for a class of complex control systems, Part Ⅰ: Fuzzy modeling and identification;Part Ⅱ: Fuzzy controller design S. G. Cao;N. W. Rees;G. Feng
  5. IEEE Transactions on Fuzzy Systems v.4 An approach to fuzzy control of nonlinear systems: Stability and design issues H. Wang;K. Tanaka;M. Griffin
  6. Proceedings of the 35th IEEE Conference on Decision and Control Design of fuzzy control systems based on relaxed LMI stability conditions K. Tanaka;T. Ikeda;H. Wang
  7. IEEE Transactions on Fuzzy Systems v.6 Fuzzy regulators and fuzzy observers: Relaxed stability conditions and LMI-based design K. Tanaka;T. Ikeda;H. Wang
  8. IEEE Transactions on Fuzzy Systems v.7 Hybrid state-space fuzzy model-based controller with dual-rate sampling for digital control of chaotic systems Y. H. Joo;G. Chen;L. S. Shieh
  9. IEEE Transactions on Control Systems Technology v.8 Robust fuzzy control of a magnetic bearing system subharmonic disturbances S.-K. Hong;R. Langari
  10. Proceedings of 1997 IEEE International Conference on Systems, Man, and Cybernetics A new design method for continuous Takagi-Sugeno fuzzy controller with pole placement constraints: An LMI approach J. Joh;R. Langari;E. T. Jeung;W. J. Chung
  11. IEEE Transactions on Fuzzy Systems v.9 Robust fuzzy control of nonlinear systems with parametric uncertainties H. J. Lee;J. B. Park;G. Chen
  12. Fuzzy Sets and Systems v.28 Structure identification of fuzzy model M. Sugeno;G. T. Kang
  13. IEEE Transactions on Systems, Man and Cybernetics v.15 Fuzzy identification of systems and its applications to modeling and control T. Takagi;M. Sugeno
  14. SIAM Studies in Applied Mathematics v.15 Linear Matrix Inequalities in Systems and Control Theory S. Boyd;L. ElGhaoui;E. Feron;V. Balakrishnan
  15. LMI Control Toolbox P. Gahinet;A. Nemirovski;A. J. Laub;M. Chilali
  16. Constructive Nonlinear Control R. Sepulchre;M. Jankovic;P. Kokotovic
  17. Robust Control of Nonlinear Systems R. A. Freeman;P. V. Kokotovic
  18. IEEE Transactions on Fuzzy Systems v.9 Parametrized linear matrix inequality techniques in fuzzy control system design H. D. Tuan;P. Apkarian;T. Narikiyo;Y. Yamamoto
  19. Proceedings of AIAA Guidance, Navigation, and Control Conference and Exhibit v.2 Optimal stabilization of Takagi Sugeno fuzzy systems with application to spacecraft control Y. Park;J. Park;M.-J. Tak
  20. International Journal of Control v.63 Outpput feedback H∞ control of systems with parameter uncertainties L. Xie
  21. IEEE Transactions on Fuzzy Systems v.4 Robust stabilization of a class of uncertain nonlinear systems via fuzzy control: Quadratic stabilizability, H∞ control theory and linear matrix inequalities K. Tanaka;T. Ikeda;H. Wang