PSO-RBF Neural Network PID Control Algorithm of Electric Gas Pressure Regulator

Abstract and Applied Analysis

Volumn 2014, Issue , 2014, Pages

  Zhong, Yuanchang ^a   Huang, Xu ^a   Meng, Pu ^a   Li, Fachuan ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84935005404     PISSN: 10853375     EISSN: 16870409     Source Type: Journal    
DOI: 10.1155/2014/731368     Document Type: Article

References (28)

1. C. Gongjian, S. Fengbin, W. Lili et al., "Analysis on natural gas pressure regulator design principle and it's influence factors," Natural Gas and Oil, vol. 29, no. 3, pp. 67-71, 2011.
2. F. Liang, J. Di, and L. Shuhui, "Study on dynamic model of single-stage self-operated gas regulator," Gas and Heat, vol. 29, no. 2, pp. B10-B13, 2009.
3. C. Yudong, W. Yong, and L. Yanjun, "Overview of control valve technology," Control and Instruments in Chemical Industry, vol. 39, no. 9, pp. 1111-1114, 2012.
4. Z. Xiaomu and Z. Mingjun, "Optimum configuration in pressure regulation system at delivery station in gas pipeline," Natural Gas and Oil, vol. 23, no. 4, pp. 27-29, 2005.
5. Z. Rongrong, Z. Shiwen, and S. Guohua, "The design of an intelligent controller for use with electric valve-actuators," Industral Instrumentation Automation, no. 4, pp. 26-28, 2005.
6. L. Zhiguo, L. Jian, and X. Lixin, "Electric pressure regulating valve and self-reliance type pressure regulating valve of combination station," Oil-Gas Field Surface Engineering, vol. 31, no. 11, p. 108, 2012.
7. L. Wang, W. F. Li, and D. Z. Zheng, "Optimal design of controllers for non-minimum phase systems," Acta Automatica Sinica, vol. 29, no. 1, pp. 135-141, 2003.
8. Y. D. Song, Q. Cao, X. Du, and H. R. Karimi, "Control strategy based on wavelet transform and neural network for hybrid power system," Journal of Applied Mathematics, vol. 2013, Article ID 375840, 8 pages, 2013.
9. A. Zhang, C. Chen, and H. R. Karimi, "A new adaptive LSSVR with online multikernel RBF tuning to evaluate analog circuit performance," Abstract and Applied Analysis, vol. 2013, Article ID 231735, 7 pages, 2013.
10. X. Dong, Y. Zhao, H. R. Karimi, and P. Shi, "Adaptive variable structure fuzzy neural identification and control for a class of MIMO nonlinear system," Journal of the Franklin Institute, vol. 350, no. 5, pp. 1221-1247, 2013.
11. C. C. Chuang, J. T. Jeng, and P. T. Lin, "Annealing robust radial basis function networks for function approximation with outliers," Neurocomputing, vol. 56, no. 1-4, pp. 123-139, 2004.
12. J. K. Sing, D. K. Basu, M. Nasipuri, and M. Kundu, "Face recognition using point symmetry distance-based RBF network," Applied Soft Computing Journal, vol. 7, no. 1, pp. 58-70, 2007
13. H. Liu, S. Wang, and P. Ouyang, "Fault diagnosis in a hydraulic position servo system using RBF neural network," Chinese Journal of Aeronautics, vol. 19, no. 4, pp. 346-353, 2006.
14. Z. A. Bashir and M. E. El-Hawary, "Applying wavelets to short-term load forecasting using PSO-based neural networks," IEEE Transactions on Power Systems, vol. 24, no. 1, pp. 20-27, 2009.
15. C. Zhang, M. Lin, and M. Tang, "BP neural network optimized with PSO algorithm for daily load forecasting," in Proceedings of the International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII '08), vol. 56, pp. 82-85, December 2008.
16. K. Meng, Z. Y. Dong, D. H. Wang, and K. P. Wong, "A self-adaptive RBF neural network classifier for transformer fault analysis," IEEE Transactions on Power Systems, vol. 25, no. 3, pp. 1350-1360, 2010.
17. G. Li, Q. Zhang, and Y. Liang, "GA-based PID neural network control for magnetic bearing systems," Chinese Journal of Mechanical Engineering, vol. 20, no. 2, pp. 56-59, 2007
18. W. Lianghong, W. Yaonan, Z. Shaowu, and T. Wen, "Design of pid controller with incomplete derivation based on differential evolution algorithm," Journal of Systems Engineering and Electronics, vol. 19, no. 3, pp. 578-583, 2008.
19. J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proceedings of IEEE International Conference on Neural Networks, pp. 1942-1948, December 1995.
20. M. Barari, H. R. Karimi, and F. Razaghian, "Analog circuit design optimization based on evolutionary algorithms," Mathematical Problems in Engineering, vol. 2014, Article ID 593684, 12 pages, 2014.
21. M. Sheikhan, R. Shahnazi, and S. Garoucy, "Synchronization of general chaotic systems using neural controllers with application to secure communication," Neural Computing and Applications, vol. 22, no. 2, pp. 361-373, 2013.
22. R. Mooney, "Pilot-loaded regulators: what you need to know," Gas Industries, vol. 34, no. 1, pp. 31-33, 1989.
23. A. Krigman, Guide to Selecting Pressure Regulators, InTech, 1984.
24. A. E. Rundell, S. V. Drakunov, and R. A. DeCarlo, "A sliding mode observer and controller for stabilization of rotational motion of a vertical shaft magnetic bearing," IEEE Transactions on Control Systems Technology, vol. 4, no. 5, pp. 598-608, 1996.
25. N. Zafer and G. R. Luecke, "Stability of gas pressure regulators," Applied Mathematical Modelling, vol. 32, no. 1, pp. 61-82, 2008.
26. Y. Zhong, F. Wang, L. Zhang, and C. Tao, "The information fusion algorithm on gaspressure regulator inlet/outlet detection," Journal of Computational Information Systems, vol. 10, no. 5, pp. 2145-2153, 2014.
27. W. Zhi, Study on Dynamic Characteristic and Control of Electric Control Valve, Shan Dong University, 2013.
28. Y. H. Shi and R. C. Eberhart, "Empirical study of particle swarm optimization," in Proceedings of the Congress on Evolutionary Computation, pp. 1945-1950, Piscataway, NJ, USA, 1999.