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Neuro-fuzzy generalized predictive control of boiler steam temperature

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Abstract

Power plants are nonlinear and uncertain complex systems. Reliable control of superheated steam temperature is necessary to ensure high efficiency and high load-following capability in the operation of modern power plant. A nonlinear generalized predictive controller based on neuro-fuzzy network (NFGPC) is proposed in this paper. The proposed nonlinear controller is applied to control the superheated steam temperature of a 200MW power plant. From the experiments on the plant and the simulation of the plant, much better performance than the traditional controller is obtained.

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Authors and Affiliations

  1. Department of Automation, North China Electric Power University, Beijing, 102206, China

    Xiangjie Liu & Jizhen Liu

  2. Department of Automation, Beijing Institute of Machinery, Beijing, 100085, China

    Ping Guan

Authors
  1. Xiangjie Liu
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  2. Jizhen Liu
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  3. Ping Guan
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Additional information

This work was supported by the Natural Science Foundation of Beijing (No. 4062030), National Natural Science Foundation of China (No. 50576022, 69804003), Scientific Research Common Program of Beijing Municipal Commission of Education (KM200611232007).

XiangJie LIU received Ph.D. degree in Electrical and Electronic engineering from Research Center of Automation, Northeastern University in 1997. He subsequently held post-doctoral program in Electric Power Research Institute(EPRI), Beijing, China, until 1999. He has been an associate professor in EPRI since 1999. He was a research associate in University of HongKong, a professor in National University of Mexico. He is now a professor in Department of Automation, North China Electric Power University. His current research area includes: fuzzy control, neural network, adaptive control, intelligent control theory and its application in industrial process, development and application of DCS. Dr. Liu was a candidate for the “application price” in the 14th IFAC world congress.

JiZhen LIU received M.S. degree from North China Electric Power University(NCEPU) in China in 1982. He is currently president of NCEPU, chief Council member of the Chinese Society for Electrical Engineering, a Council member of the Chinese Association of Automation. His current research area includes: optimization technology in thermal process and supervisory information system of power

Ping GUAN received Ph.D. from Department of Automatic Control, Beijing Institute of Technology in 2004. She is currently associate professor in Department of Automation, Beijing Institute of Machinery. Her current research area includes: neuron-fuzzy network, adaptive control, intelligent control theory and its application in aerospace.

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Liu, X., Liu, J. & Guan, P. Neuro-fuzzy generalized predictive control of boiler steam temperature. J. Control Theory Appl. 5, 83–88 (2007). https://doi.org/10.1007/s11768-005-5258-6

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  • DOI: https://doi.org/10.1007/s11768-005-5258-6

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