Design of a GA-based fuzzy PID controller for non-minimum phase systems

Fuzzy Sets and Systems

Volumn 111, Issue 2, 2000, Pages 183-197

  Li, Tzuu Hseng S ^a   Shieh, Ming Yuan ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEM ANALYSIS; CONTROL SYSTEM SYNTHESIS; GENETIC ALGORITHMS; THREE TERM CONTROL SYSTEMS; TWO TERM CONTROL SYSTEMS;

NONMINIMUM-PHASE (NMP) SYSTEMS;

FUZZY CONTROL;

EID: 0033900560     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(97)00404-1     Document Type: Article

References (40)

1. K.J. Astrom, Direct methods for non-minimum phase systems, Proc. 19th Conf. Decision and Control, December 1980, pp. 616-615.
2. Bartolini G., Ferrara A. Variable structure approach to the pole assignment control of nonminimum phase systems. Internat. J. Control. 57:1993;1063-1078.
3. G. Bartolini, A. Ferrara, Model-following control of uncertain nonminimum phase LTI plants via sliding modes, Proc. 33rd Conf. on Decision and Control, December 1994, Lake Buena Vista, FL, pp. 480-483.
4. G. Bartolini, T. Zolezzi, The V.S.S. approach to the model reference control of nonminimum phase linear plants, IEEE Trans. Automat. Control AC-33 (1988) 859-863.
5. Bonissone P.P., Badami V., Chiang K.H., Khedkar R.S., Marcelle K.W., Schutten M.J. Industrial applications of fuzzy logic at general electric. Proc. IEEE. 83:1995;450-465.
6. Braae M., Rutherford D.A. Theoretical and lingusitic aspects of the fuzzy logic controller. Automatica. 15:1979;553-577.
7. T. Brehm, Hybrid fuzzy logic PID controller, Proc. 1994 IEEE 3rd Internat. Fuzzy Systems Conf., vol. 3, June 1994, Orlando, FL, USA, pp. 1682-1687.
8. Elliott H. Direct adaptive pole placement with application to nonminimum phase systems. IEEE Trans. Automat. Control. AC-27:1982;720-721.
9. G.F. Franklin, J.D. Powell, A. Emami-Naeini, Feedback Control of Dynamic Systems, 2nd ed., Addison-Wesley, Singapore, 1991.
10. D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Canada, 1989.
11. Hanebeck U.D., Schmidt G.K. Genetic optimization of fuzzy networks. Fuzzy Sets and Systems. 79:1996;59-68.
12. Harris C.J., Moore C.G. Intelligent identification and control for AGV's using adaptive fuzzy based algorithms. Engr. Appl. AI. 2:1989;267-285.
13. C.J. Harris, C.G. Moore, M. Brown, Intelligent Control: Aspects of Fuzzy Logic and Neural Nets, World Scientific, Singapore, 1993.
14. S.Z. He, S.H. Tan, F.L. Xu, P.Z. Wang, PID self-tuning control using a fuzzy adaptive mechanism, Proc. IEEE 2nd Internat. Fuzzy Systems Conf., March / April 1993, San Francisco, CA, USA, pp. 708-713.
15. Homaifar A., McCormick E. Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms. IEEE Trans. Fuzzy Systems. 3:1995;129-139.
16. C.L. Karr, Design of an adaptive fuzzy logic controller using a genetic algorithm, Proc. 4th Internat. Conf. Genetic Algorithms, July 1991, San Diego, pp. 450-457.
17. C.L. Karr, Genetic algorithms for fuzzy controller, AI Expert (1991) 26-33.
18. Karr C.L., Gentry E.J. Fuzzy control of pH using genetic algorithms. IEEE Trans. Fuzzy Systems. 1:1993;46-53.
19. King P.J., Mamdani E.H. The application of fuzzy control systems to industrial processes. Automatica. 13:1997;235-247.
20. D.P. Kwok, D. Tam, C.K. Li, Analysis and design of fuzzy PID control systems, Proc. IEE 'Control 91' Conf., 1991, Heriot Watt University, Edinburgh.
21. Lee C.C. Fuzzy logic in control systems: fuzzy logic controller - Parts I and II. IEEE Trans. Systems Man Cybernet. 20:1990;404-435.
22. Li Y., Ng K.C., Murray-Smith D.J., Gray G.J., Sharman K.C. Genetic algorithm automated approach to the design of sliding mode control systems. Internat. J. Control. 63:1996;721-739.
23. Y.F. Li, F.C. Lau, Development of fuzzy algorithms in servo systems, IEEE Control Systems Mag. (1989) 65-72.
24. Lin S.C., Chen Y.Y. Self-generating fuzzy sliding control rules using genetic algorithms. J. Control System Technol. 2:1994;215-222.
25. Linkens D.A., Nyongesa H.O. Genetic algorithms for fuzzy control - Part 1: Offline system development and application; Part 2: Online system development and application. IEE Proc. Control Theory Appl. 142:1995;161-185.
26. L. Ljung, E. Trusson, Direct minimization methods for adaptive control of non-minimum phase systems, Proc. 6th IFAC Symp. on Identification Syst. Parameter Estimation, June 1982.
27. Mamdani E.H. Applications of fuzzy algorithms for simple dynamic plant. Proc. IEE. 121:1974;1585-1588.
28. Man K.F., Tang K.S., Kwong S. Genetic algorithms: Concepts and applications. IEEE Trans. Indust. Electr. 43:1996;519-534.
29. Mariers J., Sherif Y.S. Applications of fuzzy set theory. IEEE Trans. Systems Man Cybernet. 15:1985;175-189.
30. Misir D., Malki H.A., Chen G. Design and analysis of a fuzzy proportional-integral-derivative controller. Fuzzy Sets and Systems. 79:1996;297-314.
31. Park S., Park L.J., Park C.H. A neuro-genetic controller for nonminimum phase systems. IEEE Trans. Neural Networks. 6:1995;1297-1300.
32. Parly L. Towards a globally stable direct adaptive control scheme for not necessarily minimum phase systems. IEEE Trans. Automat. Control. AC-29:1984;946-949.
33. M. Sugeno (Ed.), Industrial Applications of Fuzzy Control, North-Holland, Amsterdam, 1985.
34. C.-Y. Tsai, T.-H.S. Li, Fuzzy logic control of nonminimum phase system, Proc. FUZZ-IEEE'94, June 1994, Orlando, FL, USA, pp. 199-204.
35. Wang L.X. Stable adaptive fuzzy control of nonlinear systems. IEEE Trans. Fuzzy System. 1:1993;146-159.
36. Wong C.C., Feng S.M. Switching-type fuzzy controller design by genetic algorithms. Fuzzy Sets and Systems. 74:1995;174-185.
37. Wu J.C., Liu T.S. Fuzzy control of rider-motorcycle system using genetic algorithm and auto-tuning. Mechatronics. 5:1995;441-455.
38. J.X. Xu, C. Liu, C.C. Hang, Combined adaptive and fuzzy control using multiple models, Proc. 1994 IEEE 3rd Internat. Fuzzy Systems Conf., vol. 1, June 1994, Orlando, FL, USA, pp. 22-29.
39. Yeh E.C., Lu S.H., Chen C.C. Development of fuzzy controller for semi-active suspension system through genetic algorithm. J. Control System Technol. 2:1994;271-278.
40. Zadeh L.A. Fuzzy sets. Inform. and Control. 8:1965;338-353.