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 JSBS  Vol.3 No.1 , March 2013
Study on Fuzzy Self-Adaptive PID Control System of Biomass Boiler Drum Water
Abstract: The paper discusses the features of the Biomass Boiler drum water level. Conventional PID Control System can not reach a satisfaction result in nonlinearity and time different from Biomass Boiler Drum Water Control System. In this study, a kind of fuzzy self-adaptive PID controller is described and this controller is used in biomass boiler’s drum water level control system. Using the simulink tool of MATLAB simulation software to simulate the fuzzy adaptive PID and conventional PID control system, the result of the comparison shows that the fuzzy self-adaptive PID has the strong anti-jamming, flexibility and adaptability as well as the higher control precision in Biomass Boiler Drum Water.
Cite this paper: Jin, J. , Huang, H. , Sun, J. and Pang, Y. (2013) Study on Fuzzy Self-Adaptive PID Control System of Biomass Boiler Drum Water. Journal of Sustainable Bioenergy Systems, 3, 93-98. doi: 10.4236/jsbs.2013.31013.
References

[1]   Demibas, A. (2001) Biomass resource facilities and biomass conversion processing for fuels and chemical. Energy Conversion and Management, 42, 1357-1378

[2]   Mahlia, T.M.I., Abdulmuin, M.Z. and Almsyah, T.M.I. (2003) Dynamic modeling and simulation of a palm wastes boiler. Energy, 2003, 1235-1256.

[3]   Zhu, S.H. and Li, Z. (2010) Study on control of water level in boiler based on fuzzy self-tuning PID. Journal of Shenyang Institute of Engineering (Natural Science), 6.

[4]   Li, J. and Wang, D.Q. (2011) Design of fuzzy PID controler and its simulation based on MATLAB. Industrial Control Computer, 24.

[5]   Wu, Q.E., Sun, J.M., Wang, J.F., et al. (2010) Fuzzy automata system with application. Journal of Computation and Theoretical Nan Science, 10, 1911-1920.

[6]   Sun, J.M., Xie, Z.H., Li, L.P. and Feng, G.J. (2010) Simulation research on fuzzy self-adaptive PID control systerm of biomass boiler. Boiler Technology, 41.

[7]   Moon, U. and Lee, K.Y. (2003) A boiler-turbine system control using a fuzzy auto-regressive moving average model. IEEE Transaction on Energy Conversion, 18, 165-172.

[8]   Chen, X., Ding, Y.J. and Rong J. (2011) The design and simulation of fuzzy PID algorithm of temperature of boiler. Journal of YUEYANG Vocational Technical College, 26

 
 
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