Comparative performance analysis of various binary coded PSO algorithms in multivariable PID controller design

Expert Systems with Applications

Volumn 39, Issue 4, 2012, Pages 4390-4401

  Menhas, Muhammad Ilyas ^a   Wang, Ling ^a   Fei, Minrui ^a   Pan, Hui ^a  

^a SHANGHAI UNIVERSITY   (China)

Author keywords

Binary PSO; Particle swarm optimization; PID control; PID tuning; Swarm intelligence

Indexed keywords

ABSOLUTE ERROR; BINARY DISTILLATION COLUMNS; BINARY PSO; COMPARATIVE PERFORMANCE ANALYSIS; COMPUTATION TIME; CONTROLLER DESIGNS; COVARIANCE MATRIX ADAPTATION EVOLUTION STRATEGIES; DECOUPLERS; DIFFERENTIAL EVOLUTION; DISCRETE BINARY; FITNESS EVALUATIONS; MODIFIED PARTICLE SWARM OPTIMIZATION; MULTIPLE INPUTS; MULTIPLE OUTPUTS; MULTIVARIABLE PID CONTROLLER; OBJECTIVE FUNCTIONS; PARTICLE SWARM; PERFORMANCE MEASURE; PID CONTROLLER DESIGN; PID TUNING; PSO ALGORITHMS; REAL-CODED GENETIC ALGORITHM; SIMULATION EXPERIMENTS; STATISTICAL DATAS; STOPPING CRITERIA; SWARM INTELLIGENCE; TIME INTEGRALS; TRANSIENT PERFORMANCE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BENCHMARKING; CELLULAR AUTOMATA; COMPUTATIONAL EFFICIENCY; CONTROLLERS; COVARIANCE MATRIX; DESIGN; DISTILLATION; DISTILLATION COLUMNS; ELECTRIC CONTROL EQUIPMENT; HEALTH; MATLAB; PROPORTIONAL CONTROL SYSTEMS; THREE TERM CONTROL SYSTEMS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 82255183109     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.09.152     Document Type: Article

References (36)

1. K.J. ström, and T. Hägglund The future of PID control Control Engineering Practice 9 11 2001 1163 1175
2. K.H. Ang, G. Chang, and Yun Li PID control system analysis, design and technology IEEE Transaction on Control System and Technology 13 4 2005 559 577
3. K.J. Astrom, and T. Hagglund PID controllers: Theory, design and tuning 2nd ed. 1995 Instrument Society of America
4. K.J. Astrom, and B. Wittenmark Adaptive controls 2nd ed. 1995 Addison Wesley
5. Baskar, S.; & Suganthan, P. N. (2004). A novel concurrent particle swarm optimization. In Congress on evolutionary computation, CEC2004 (Vol. 1, pp. 792-796).
6. Bingul, Z. (2004). A new PID tuning technique using differential evolution for unstable and integrating processes with time delay. In ICONIP, proceedings lecture notes in computer science (Vol. 3316, pp. 254-260). (Pubitemid 39750741)
7. W.D. Chang A multi-crossover genetic approach to multivariable PID controllers tuning Expert Systems with Applications 33 2007 620 626
8. W.D. Chang PID control for chaotic synchronization using particle swarm optimization Chaos, Solitons and Fractals 39 2 2009 910 917
9. B.S. Chen, Y.M. Cheng, and C.H. Lee A genetic approach to mixed H2/H1 optimal PID control IEEE Control Systems 15 5 1995 51 60
10. L.S. Coelho, and D.L.A. Bernert PID control design for chaotic synchronization using tribes optimization approach Chaos, Solitons and Fractals 42 1 2009 634 640
11. G.H. Cohen, and G.A. Coon Theoretical considerations of retarded control Transactions on ASME 75 1953 827 834
12. H. Duan, D. Wang, and X. Yu Novel approach to nonlinear PID parameter optimization using ant colony optimization algorithm Journal of Bionic Engineering 3 2 2006 73 78 (Pubitemid 44007487)
13. T. Fukuda, and T. Shibata Theory and application of neural networks for industrial control systems IEEE Transactions on Industrial Electronics 39 6 1992 472 489 (Pubitemid 23598537)
14. Z.L. Gaing A particle swarm optimization approach for optimum design of PID controller in AVR system IEEE Transactions on Energy Conversion 19 2 2004 384 391
15. S.P. Goshal Optimization of PID gains by particle swarm optimization in fuzzy based automatic generation control Electric Power System Research 72 2004 203 212
16. R.M. Jan, C.S. Tseng, and R.J. Liu Robust PID control design for permanent magnet synchronous motor: A genetic approach Electric Power Systems Research 78 7 2008 1161 1168
17. Kennedy, J.; & Eberhart, R. C. (1995). Particle swarm optimization. In Proceedings of the IEEE international conference neural networks (Vol. 4, pp. 1942-1948).
18. Kennedy, J.; & Eberhart, R. C. (1997). Discrete binary version of particle swarm optimization algorithm. In IEEE proceedings on computational cybernetics and simulation (pp. 4104-4108).
19. T.H. Kim, I. Maruta, and M. Sugie Robust PID controller tuning based on the constrained particle swarm optimization Automatica 44 4 2008 1104 1110
20. C.C. Lee Fuzzy logic in control systems: Fuzzy logic controller - Part I and II IEEE Transactions on Systems, Man and Cybernetics 20 2 1990 404 435
21. P. Marsh Turn on tune in-Where can the PID controllers go next New Electron 31 4 1998 31 32
22. M.I. Menhas, L. Wang, M. Fei, and C.X. Ma Coordinated controller tuning of boiler turbine unit with new binary particle swarm optimization algorithm International Journal of Automation and Computing 8 2 2011 185 192
23. V. Mukherjee, and S.P. Goshal particle swarm optimized fuzzy PID controller for AVR system Electric Power System Research 77 12 2007 1689 1698 (Pubitemid 47348223)
24. J.J. Shen Qi Modified Particle Swarm optimization algorithm for variable selection in MLR and PLS modeling. QSAR studies of antagonism of angoitensin II antagonists European Journal of Pharmaceutical Sciences 22 2004 145 150
25. Shi, Y.; & Eberhart, R. C. (1998). A modified particle swarm optimizer. In Proceedings of IEEE international conference on evolutionary computation, Anchorage, AK (pp. 69-73).
26. F. Van den Bergh, and A.P. Engelbrecht A Cooperative approach to particle swarm optimization IEEE Transactions on Evolutionary Computation 8 3 2004 225 239
27. L. Wang, X.T. Wang, J.Q. Fu, and L.L. Zhen A novel probability binary particle swarm optimization algorithm and its application Journal of Software 9 3 2008 28 35
28. J.S. Wang, Y. Zhang, and W. Wang Optimal design of PI/PD controller for non-minimum phase system Transactions of the Institute of Measurement and Control 28 1 2006 27 35 (Pubitemid 44651919)
29. I.M. Willjuice, and S. Baskar Evolutionary algorithm based design of multivariable PID controller Expert Systems with Applications 36 2009 9159 9167
30. I.M. Willjuice, and S. Baskar Covariance matrix adaptation evolution strategy based design of centralized PID controller Expert Systems with Applications 37 2010 5775 5781
31. R.K. Wood, and M.W. Berry Terminal composition control of a binary distillation column Chemical Engineering Science 28 9 1973 1707 1717
32. J. Zhang, J. Zhuang, H. Du, and S. Wang Self-organizing genetic algorithm based tuning of PID controllers Information Sciences 179 7 2009 1007 1018
33. Z.-H. Zhan, J. Zhang, Y. Li, and H.S. Chung Adaptive particle swarm optimization IEEE Transactions on System, Man and Cybernetics 39 6 2009 1362 1381
34. S.Z. Zhao, and P.N. Suganthan Diversity enhanced particle swarm optimizer for global optimization of multimodal problems IEEE Congress on Evolutionary Computation 2009 590 597
35. J.G. Ziegler, and N.B. Nichols Optimum settings for automatic controllers Transactions on ASME 64 8 1942 759 768
36. W. Zuo Multivariable adaptive control for a space station using genetic algorithm IEEE Proceedings Control Theory and Applications 142 2 1995 81 87