Self-tuning PID control of hydro-turbine governor based on genetic neural networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4683 LNCS, Issue , 2007, Pages 520-528

  Guo, Aiwen ^a   Yang, Jiandong ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Genetic algorithm; Hydro turbine governor; Neural network; PID control

Indexed keywords

COMPUTER SIMULATION; GENETIC ALGORITHMS; LARGE SCALE SYSTEMS; NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); THREE TERM CONTROL SYSTEMS;

HYDRO TURBINE GOVERNORS; HYDRO-TURBINE GOVERNOR MODELS;

TURBINES;

EID: 38049051319     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74581-5_57     Document Type: Conference Paper

References (15)

1. Tao, Y., Yin, Y., et al.: The New PID Control and Its Applications. China Machine Press, Beijing (1998)
2. Astrom, K.J., Hagglund, T.: PID controller: Theory, Design and Tuning. Instrument Society of America, Research Triangle Park, NC (1995)
3. Ye, L., Wei, S., Li, Z.: Field Tests and Operation of a Duplicate Multiprocessor-based governor for Water Turbine and Its Further Development. IEEE Trans. on Energy Conversion 5(2), 225-231 (1990)
4. Liang, H., Ye, L., Meng, A.: Self-adaptive Fuzzy-PID Controller and Its Application to the control system of Hydroturbine Unit. Hydropower Automation and Dam Monitoring 27(6), 26-29 (2003)
5. Wang, Y., Shang, C., Li, Y.: The Adaptive PID Control of the Hydraulic Turbine Regulation System on the Neural Networks. Journal of Hydroelectric Engineering 1, 93-99(1998)
6. Gao, J., Mou, X., Yang, J.: PID Controller Based on GA and Neural Network. Electric Machines and Control 8(2), 108-111 (2004)
7. Lansberry, J.E., Wozniak, L.: Optimal Hydrogenerator Governor Tuning with a Genetic Algorithm. IEEE Transactions on Energy Conversion 7(4), 623-630 (1992)
8. Li, Z., Xiao, D., He, S.: A Fuzzy Adaptive PID Controller Based on Neural Network. Control and Decision 11(3), 340-345 (1996)
9. Stefopoulos, G.K., Georgilakis, P.S., et al.: A Genetic Algorithm Solution to the GovernorTurbine Dynamic Model Identification in Multi-Machine Power Systems. In: Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, pp. 1288-1294. IEEE Computer Society Press, Los Alamitos (2005)
10. Liu, J.: Advanced PID Control and MATLAB Simulation, 2nd edn. Publishing House of Electronics Industry, Beijing (2004)
11. Li, S.: Fuzzy Control, Neurocontrol and Intelligent Cybernetics. Harbin Institute of Technology Press, Harbin (1998)
12. Ding, Y.: Intelligent Computing: Theory, Technique and Application. Science Press, Beijing (2004)
13. Zhang, Z., Li, Z., Li, Z.: Fuzzy PID Control for Hydroelectricity Generating Unit. Hydropower Automation and Dam Monitoring 26(1), 34-36 (2002)
14. Shen, Z.: Governing of Hydroturbine, 3rd edn. China Water Publishing Press, Beijing (1998)
15. Hannett, L.N., Fardanesh, B.: Field Test to Validate Hydroturbine Governor Model Structure and Parameters. IEEE Trans. Power Systems 9, 1744-1751 (1994)