An error-based on-line rule weight adjustment method for fuzzy PID controllers

Expert Systems with Applications

Volumn 38, Issue 8, 2011, Pages 10124-10132

  Karasakal, Onur ^a   Guzelkaya, Mujde ^a   Eksin, Ibrahim ^a   Yesil, Engin ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Fuzzy PID controller; Fuzzy rule weighting; Self tuning

Indexed keywords

ABSOLUTE VALUES; ADJUSTMENT METHOD; CONTROL SIGNAL; ERROR VALUES; FUZZY LOGIC CONTROLLERS; FUZZY PID CONTROLLER; META RULES; PROCESS CONTROL SIMULATORS; REAL-TIME APPLICATION; RELATIVE IMPORTANCE; SAMPLING TIME; SELF-TUNING; SYSTEM ERRORS; SYSTEM RESPONSE; TRANSIENT PHASE; TRANSIENT SYSTEMS; WEIGHT ASSIGNMENT; WEIGHT VALUES;

CLOSED LOOP SYSTEMS; CONTROLLERS; ELECTRIC CONTROL EQUIPMENT; FUZZY RULES; FUZZY SYSTEMS; LINEAR SYSTEMS; MEMBERSHIP FUNCTIONS; PROPORTIONAL CONTROL SYSTEMS; REAL TIME SYSTEMS; THREE TERM CONTROL SYSTEMS; TWO TERM CONTROL SYSTEMS;

FUZZY LOGIC;

EID: 79953718741     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.02.070     Document Type: Article

References (28)

1. K.K. Ahn, and D.Q. Truong Online tuning fuzzy PID controller using robust extended Kalman filter Journal of Process Control 19 2009 1011 1023
2. K.-Y. Chen, P.-C. Tung, M.-T. Tsai, and Y.-H. Fan A self-tuning fuzzy PID-type controller design for unbalance compensation in an active magnetic bearing Expert Systems with Applications 36 2009 8560 8570
3. G. Chen Conventional and fuzzy PID controllers: an overview International Journal of Intelligent Control and Systems 1 1996 235 246
4. H.Y. Chung, B.C. Chen, and J.J. Lin A PI-type fuzzy controller with self-tuning scaling factors Fuzzy Sets and Systems 93 1998 23 28
5. X.-G. Duan, H.-X. Li, and H. Deng Effective tuning method for fuzzy PID with internal model control Industrial and Engineering Chemistry Research 47 2008 8317 8323
6. S. Galichet, and L. Foulloy Fuzzy controllers: Synthesis and equivalences IEEE Transactions on Fuzzy Systems 3 1995 140 148
7. H.M. Genc, E. Yesil, I. Eksin, M. Guzelkaya, and O.A. Tekin A rule base modification scheme in fuzzy controllers for time-delay systems Expert Systems with Applications 36 2009 8476 8486
8. M. Guzelkaya, I. Eksin, and F. Gurleyen A new methodology for designing a fuzzy logic controller and PI, PD blending mechanism Journal of Intelligent and Fuzzy Systems 11 2001 85 98 (Pubitemid 33665382)
9. M. Guzelkaya, I. Eksin, and E. Yesil Self-tuning of PID-type fuzzy logic controller coefficients via relative rate observer Engineering Applications of Artificial Intelligence 16 2003 227 236
10. S.Z. He, T.D. Shaoua, and F.L. Xu Fuzzy self-tuning of PID Fuzzy Sets and Systems 56 1993 37 46
11. B. Hu, G.K.I. Mann, and R.G. Gasine New methodology for analytical and optimal design of fuzzy PID controllers IEEE Transactions on Fuzzy Systems 7 5 1999 521 539 (Pubitemid 32081737)
12. Huang, T. T.; Chung, H. Y.; & Lin, J. J. (1999). A fuzzy PID controller being like parameter varying PID. In IEEE international fuzzy systems conference proceeding, Seoul, Korea (Vol. 1, pp. 269-275).
13. Y.T. Juang, Y.T. Chang, and C.P. Huang Design of fuzzy PID controllers using modified triangular membership functions Information Sciences 178 2008 1325 1333
14. O. Karasakal, M. Guzelkaya, E. Yesil, and I. Eksin Implementation of a new self-tuning fuzzy PID controller on PLC Turkish Journal of Electrical Engineering and Computer Science 13 2005 277 286 (Pubitemid 40929664)
15. H.X. Li, and H.B. Gatland Conventional fuzzy control and its enhancement IEEE Transactions on Systems Man and Cybernetics - Part B 26 5 1996 791 797 (Pubitemid 126782435)
16. Mamdani, E. H. (1974). Application of fuzzy logic algorithms for control of simple dynamic plant. In Proceedings of the IEEE (pp. 1585-1588).
17. M. Mizumoto Realization of PID controls by fuzzy control methods Fuzzy Sets and Systems 70 1992 171 o182
18. R.K. Mudi, and N.R. Pal A robust self-tuning scheme for PI- and PD-type fuzzy controllers IEEE Transactions on Fuzzy Systems 7 1 1999 2 16
19. Nauck, D.; & Kruse, R. (1998). How the learning of rule weights affects the interpretability of fuzzy systems. In Proceeding of IEEE international conference on fuzzy systems (FUZZIEEE'98) (pp. 1235-1240).
20. R. Palm, and D. Driankov Model based fuzzy control 1996 Springer Berlin
21. W.Z. Qiao, and M. Mizumoto PID type fuzzy controller and parameters adaptive method Fuzzy Sets and Systems 78 1996 23 35 (Pubitemid 126667357)
22. S. Skogestad Simple analytic rules for model reduction and PID controller tuning Journal of Process Control 13 4 2003 291 309
23. S. Soyguder, M. Karakose, and H. Alli Design and simulation of self-tuning PID-type fuzzy adaptive control for an expert HVAC system Expert Systems with Applications 36 2009 4566 4573
24. Teng, M.; Xiang, F.; Wang, R.; & Wu, Z. (2004). Using genetic algorithm for weighted fuzzy rule-based system. In Proceedings of the 5th world congress on intelligent control and automation (pp. 4292-4295).
25. Z.W. Woo, H.Y. Chung, and J.J. Lin A PID-type fuzzy controller with self-tuning scaling factors Fuzzy Sets and Systems 115 2000 321 326
26. J.X. Xu, C.C. Hang, and C. Liu Parallel structure and tuning of a fuzzy PID controller Automatica 36 2000 673 684 (Pubitemid 30578679)
27. J.X. Xu, C. Liu, and C.C. Hang Tuning and analysis of a fuzzy PI controller based on gain and phase margins IEEE Transactions on Systems Man and Cybernetics - Part A 28 5 1998 685 691 (Pubitemid 128748075)
28. Z.Y. Zhao, M. Tomizuka, and S. Isaka Fuzzy gain scheduling of PID controllers IEEE Transactions on Systems Man and Cybernetics 23 5 1993 1392 1398