Iterative performance improvement of fuzzy control systems for three tank systems

Expert Systems with Applications

Volumn 39, Issue 9, 2012, Pages 8288-8299

  Precup, Radu Emil ^a   Tomescu, Marius L ^b   Rdac, Mircea Bogdan ^a   Petriu, Emil M ^c   Preitl, Stefan ^a   Dragoş, Claudia Adina ^a  

^a POLITEHNICA UNIVERSITY OF TIMISOARA   (Romania)

^b AUREL VLAICU UNIVERSITY OF ARAD   (Romania)

^c UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Experimental results; Fuzzy controllers; Global invariant set; Iterative feedback tuning; Stability analysis; Three tank system

Indexed keywords

EXPERIMENTAL RESULTS; FUZZY CONTROLLERS; GLOBAL INVARIANT SET; ITERATIVE FEEDBACK TUNING; STABILITY ANALYSIS; THREE TANK SYSTEM;

FUZZY SYSTEMS; MIMO SYSTEMS; OFFSHORE PIPELINES; TIME VARYING NETWORKS;

FEEDBACK CONTROL;

EID: 84858332456     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.01.165     Document Type: Article

References (45)

1. Amira (2000). DTS200 - laboratory setup three tank system. Duisburg, Germany: Amira GmbH.
2. Benayache, R.; Chrifi-Alaoui, L.; Bussy, P.; & Castelain, J. M. (2008). Nonlinear sliding mode control with backstepping approach for a nonlinear three tank system. In Proceedings of 16th mediterranean conference on control and automation (pp. 658-663) Ajaccio, France.
3. S. Blažič, and I. Škrjanc Design and stability analysis of fuzzy model-based predictive control - a case study Journal of Intelligent and Robotic Systems 49 3 2007 279 292
4. S. Blažič, I. Škrjanc, S. Gerkšič, G. Dolanc, S. Strmčnik, and M.B. Hadjiski Online fuzzy identification for an intelligent controller based on a simple platform Engineering Applications of Artificial Intelligence 22 4-5 2009 628 638
5. Bobal, V.; Kubalcik, M.; Chalupa, P.; & Dostal, P. (2009). Self-tuning control of nonlinear servo system: Comparison of LQ and predictive approach. In Proceedings of 17th mediterranean conference on control and automation (MED '09)(pp. 240-245) Thessaloniki, Greece.
6. Bouzouita, B.; Bouani, F.; Wertz, W.; & Ksouri, M. (2008). Implementation of SISO robust predictive control to a three tanks system. In Proceedings of IEEE international conference on control applications (CCA 2008)(pp. 323-328) San Antonio, TX.
7. R. Dormido, H. Vargas, N. Duro, J. Sanchez, S. Dormido-Canto, and G. Farias Development of a web-based control laboratory for automation technicians: The three-tank system IEEE Transactions on Education 51 1 2008 35 44
8. G. Feng A survey on analysis and design of model-based fuzzy control systems IEEE Transactions on Fuzzy Systems 14 5 2006 676 697
9. Fliess, M.; Join, C.; & Sira-Ramirez, H. (2005). Control of an uncertain three tank system via on-line parameter identification and fault detection. In Proceedings of 16th IFAC world congress (pp. 6) Prague, Czeck Republic.
10. R.E. Haber, R.M. del Toro, and A. Gajate Optimal fuzzy control system using the cross-entropy method. A case study of a drilling process Information Sciences 180 14 2010 2777 2792
11. K. Hamamoto, T. Fukuda, and T. Sugie Iterative feedback tuning of controllers for a two-mass-spring system with friction Control Engineering Practice 11 9 2003 1061 1068
12. Hjalmarsson, H. (1998). Control on nonlinear systems using iterative feedback tuning. In Proceedings of 1998 american control conference (Vol. 4, pp. 2083-2087), Philadelphia, PA, USA.
13. H. Hjalmarsson Iterative feedback tuning - an overview International Journal of Adaptive Control and Signal Processing 16 5 2002 373 395
14. Hjalmarsson, H.; Gunnarsson, S.; & Gevers, M. (1994). A convergent iterative restricted complexity control design scheme. In Proceedings of 33rd IEEE conference on decision and control (CDC) (pp. 1735-1740) Lake Buena, Vista, FL.
15. H. Hjalmarsson, M. Gevers, S. Gunnarsson, and O. Lequin Iterative feedback tuning: Theory and applications IEEE Control Systems Magazine 18 4 1998 26 41
16. J.K. Huusom, N.K. Poulsen, and S.B. Jørgensen Data driven tuning of state space control loops with unknown state information and model uncertainty Computer Aided Chemical Engineering 26 2009 441 446
17. J.K. Huusom, N.K. Poulsen, and S.B. Jørgensen Improving convergence of iterative feedback tuning Journal of Process Control 19 4 2009 570 578
18. H. Jansson, and H. Hjalmarsson Gradient approximations in iterative feedback tuning for multivariable processes International Journal of Adaptive Control and Signal Processing 18 8 2004 665 681
19. S. Kissling, P. Blanc, P. Myszkorowski, and I. Vaclavik Application of iterative feedback tuning (IFT) to speed and position control of a servo drive Control Engineering Practice 17 7 2009 834 840
20. A. Kruszewski, R. Wang, and T.M. Guerra Nonquadratic stabilization conditions for a class of uncertain nonlinear discrete time TS fuzzy models: A new approach IEEE Transactions on Automatic Control 53 2 2009 606 611
21. H.K. Lam Stability analysis of T-S fuzzy control systems using parameter-dependent Lyapunov function IET Control Theory and Applications 3 6 2009 750 762
22. H.K. Lam, and M. Narimani Stability analysis and performance design for fuzzy-model-based control system under imperfect premise matching IEEE Transactions on Fuzzy Systems 17 4 2009 949 961
23. J.P. LaSalle An invariance principle in the theory of stability J. Hale, J.P. LaSalle, Differential Equations and Dynamical Systems 1965 Academic Press New York 277 286
24. Liu, G.; Han, J. -H.; Wu, Y. -B.; & Liu, M. -J. (2010). An optimal control problem of adaptive fuzzy controllers for fuzzy control systems. In Proceedings of 2010 international conference on intelligent computation technology and automation (ICICTA '10) (Vol. 1, pp. 619-622) Changsha, China.
25. M. Marinaki, Y. Marinakis, and G.E. Stavroulakis Vibration control of beams with piezoelectric sensors and actuators using particle swarm optimization Expert Systems with Applications 38 6 2011 6872 6883
26. Mendonca, L. F.; Sousa, J.; & Sa da Costa, J. M. G. (2008). Fault accommodation of an experimental three tank system using fuzzy predictive control. In Proceedings of IEEE international conference on fuzzy systems (FUZZ-IEEE 2008) (pp. 1619-1625) Hong Kong.
27. ∞ control of Takagi-Sugeno fuzzy systems IEEE Transactions on Fuzzy Systems 17 4 2009 863 873
28. Nafaa, A.; Hadjadj-Aoul, Y.; & Mehaoua, A. (2005). On interaction between loss characterization and forward error correction in wireless multimedia communication. In Proceedings of 2005 IEEE international conference on communications (ICC 2005)(Vol. 2, pp. 1390-1394) Seoul, Korea.
29. S.-K. Oh, H.-J. Jang, and W. Pedrycz A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization Expert Systems with Applications 38 9 2011 11217 11229
30. Orani, N.; Pisano, A.; & Usai, E. (2009). Fault detection and reconstruction for a three-tank system via high-order sliding-mode observer. In Proceedings of IEEE international conference on control applications (CCA '09) (pp. 1714-1719) Saint Petersburg, Russia.
31. N.-S. Pai, H.-T. Yau, and C.-L. Kuo Fuzzy logic combining controller design for chaos control of a rod-type plasma torch system Expert Systems with Applications 37 12 2010 8278 8283
32. Z. Petres, P. Baranyi, P. Korondi, and H. Hashimoto Trajectory tracking by TP model transformation: Case study of a benchmark problem IEEE Transactions on Industrial Electronics 54 3 2007 1654 1663
33. Precup, R. -E.; Rdac, M. -B.; Preitl, S.; Tomescu, M. -L.; Petriu, E. M.; & Paul, A. S. (2009). IFT-based PI-fuzzy controllers: Signal processing and implementation. In Proceedings of 6th international conference on informatics in control, automation and robotics (ICINCO 2009) (Vol. 1, pp. 207-212) Milan, Italy.
34. Precup, R. -E.; Moincat, I.; Rdac, M. -B.; Preitl, S.; Kilyeni, S.; Petriu, E. M.; et al. (2010). Experiments in iterative feedback tuning for level control of three-tank system. In Proceedings of 15th IEEE mediterranean electromechanical conference (MELECON 2010) (pp. 564-569) Valletta, Malta.
35. Precup, R. -E.; Tomescu, M. -L.; Petriu, E. M.; Preitl, S.; Fodor, J.; & Brbulescu, D. (2010). Stability analysis of a class of MIMO fuzzy control systems. In Proceedings of 2010 IEEE international conference on fuzzy systems (FUZZ-IEEE 2010) (pp. 2885-2990) Barcelona, Spain.
36. R.-E. Precup, and H. Hellendoorn A survey on industrial applications of fuzzy control Computers in Industry 62 3 2011 213 226
37. R.-E. Precup, S. Preitl, I.J. Rudas, M.L. Tomescu, and J.K. Tar Design and experiments for a class of fuzzy controlled servo systems IEEE/ASME Transactions on Mechatronics 13 1 2008 22 35
38. A. Sala, T.M. Guerra, and R. Babuška Perspectives of fuzzy systems and control Fuzzy Sets and Systems 156 3 2005 432 444
39. M. Sanjuan, A. Kandel, and C.A. Smith Design and implementation of a fuzzy supervisor for on-line compensation of nonlinearities: An instability avoidance module Engineering Applications of Artificial Intelligence 19 3 2006 323 333
40. J. Sjöberg, F. De Bruyne, M. Agarwal, B.D.O. Anderson, M. Gevers, and F.J. Kraus Iterative controller optimization for nonlinear systems Control Engineering Practice 11 9 2003 1079 1086
41. J.J.E. Slotine, and W. Li Applied Nonlinear Control 1991 Prentice-Hall Englewood Cliffs, NJ
42. K. Tanaka, H. Yoshida, H. Ohtake, and H.O. Wang A sum-of-squares approach to modeling and control of nonlinear dynamical systems with polynomial fuzzy systems IEEE Transactions on Fuzzy Systems 17 4 2009 911 922
43. ∞ control for Van de Vusse reactor via T-S fuzzy bilinear scheme Expert Systems with Applications 38 5 2011 4935 4944
44. J.-X. Xu, and Z.-S. Hou Notes on data-driven system approaches Acta Automatica Sinica 35 6 2009 668 675
45. D. Yang, and K.-Y. Cai Finite-time quantized guaranteed cost fuzzy control for continuous-time nonlinear systems Expert Systems with Applications 37 10 2010 6963 6967