A multi-crossover genetic approach to multivariable PID controllers tuning

Expert Systems with Applications

Volumn 33, Issue 3, 2007, Pages 620-626

  Chang, Wei Der ^a  

^a SHU TE UNIVERSITY   (Taiwan)

Author keywords

Multiple crossover; Multivariable processes; PID control; Real coded genetic algorithm

Indexed keywords

CHROMOSOMES; CODES (SYMBOLS); MULTIVARIABLE SYSTEMS; THREE TERM CONTROL SYSTEMS; TUNING;

MULTIPLE CROSSOVER; MULTIVARIABLE PROCESSES; REAL CODED GENETIC ALGORITHMS;

GENETIC ALGORITHMS;

EID: 33847685253     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2006.06.003     Document Type: Article

References (19)

1. Blanco A., Delgado M., and Pegalajar M.C. A real-coded genetic algorithm for training recurrent neural networks. Neural Networks 14 (2001) 93-105
2. Chao C.T., and Teng C.C. A PD-like self-tuning fuzzy controller without steady-state error. Fuzzy Sets and Systems 87 (1997) 141-154
3. Davis L. Handbook of genetic algorithms (1991), Van Nostrand Reinhold, New York
4. Goldberg D.E. Genetic Algorithms in Search, Optimization and Machine Learning (1989), Addison-Wesley, Reading, MA
5. Huang Y.P., and Huang C.H. Real-valued genetic algorithm for fuzzy grey prediction system. Fuzzy Sets and Systems 87 (1997) 265-276
6. Hu B., Mann G.K.I., and Gosine R.G. New methodology for analytical and optimal design of fuzzy PID controller. IEEE Transactions on Fuzzy Systems 7 5 (1999) 521-539
7. Kim S.M., and Han W.Y. Induction motor servo drive using PID-like neuron-fuzzy controller. Control Engineering Practice 14 (2006) 481-487
8. Leung H.F., Lam H.K., Ling S.H., and Tam K.S. Tuning of the structure and parameters of a neural network using an improved genetic algorithm. IEEE Transactions on Neural Networks 14 1 (2003) 79-88
9. Luyben W.L. A simple method for tuning SISO controllers in a multivariable system. Industrial & Engineering Chemistry Product Research and Development 25 (1986) 654-660
10. Mann G.K.I., Hu B.G., and Gosine R.G. Two-level tuning of fuzzy PID controllers. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics 31 2 (2001) 263-269
11. Omatu S., Khalid M., and Yusof R. Neuro-Control and Its Applications (1995), Springer, London
12. Porter B., and Jones A.H. Genetic tuning of digital PID controllers. Electronic Letters 28 9 (1992) 843-844
13. Thilagar S.H., and Rao G.S. Parameter estimation of three-winding transformers using genetic algorithm. Engineering Applications of Artificial Intelligence 15 (2002) 429-437
14. Tsutsui S., and Goldberg D.E. Search space boundary extension method in real-coded genetic algorithm. Information Sciences 133 (2001) 229-247
15. Visioli A. Tuning of PID controller with fuzzy logic. IEE Proceedings-Control Theory Applications 148 1 (2001) 1-8
16. Vlachos C., Williams D., and Gomm J.B. Genetic approach to decentralised PI controller for multivariable processes. IEE Proceedings-Control Theory Applications 146 1 (1999) 58-64
17. Wang Q.G., Zou B., Lee T.H., and Qiang B. Auto-tuning of multivariable PID controllers from decentralized relay feedback. Automatica 33 3 (1997) 319-330
18. Ying H. Theory and application of a novel fuzzy PID controller using a simplified Takagi-Sugeno rule scheme. Information Sciences 123 (2000) 281-293
19. Yusof R., and Omatu S. A multivariable self-tuning PID controller. Internal Journal of Control 57 6 (1993) 1387-1403