Study on Fuzzy Immune PID Controller for Main Steam Pressure Control System in Marine Steam Power Plant

Peng Wang; Meng Hao; Qing Zhou Ji

doi:10.4028/www.scientific.net/AMM.686.89

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 686Study on Fuzzy Immune PID Controller for Main...

Study on Fuzzy Immune PID Controller for Main Steam Pressure Control System in Marine Steam Power Plant

Abstract:

The main steam pressure control system in marine steam power plant has the characteristics of time-varying, nonlinear and strong coupling. In order to get satisfactory control effect, we propose a fuzzy immune PID controller with which we can make comprehensive utilization of advantages of artificial immune, PID and fuzzy controller. We build up mathematical model of main steam pressure control system, carry out simulation and comparison. The results prove that fuzzy immune PID controller can significantly reduce the overshoot and settling time of main steam pressure. It is more effective in main steam pressure control system than PID controller.

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Periodical:

Applied Mechanics and Materials (Volume 686)

Pages:

89-94

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.686.89

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Online since:

October 2014

Authors:

Peng Wang*, Meng Hao, Qing Zhou Ji

Keywords:

Fuzzy Immune PID, Main Steam Pressure, Marine Steam Power Plant

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References

[1] Y. Fan, Y. Shen, Z.Q. Xu and D.R. Yu, Multi-objective regulation and protection switching control for marine steam power system, Turbine Technology, vol. 03, p.161–163+182, (2011).

Google Scholar

[2] K. Christooh, C. Frank and T. George, Optimization of combined cycle power plants using evolutionary algorithms, Chemical Engineering and Processing, vol. 46(6), p.1151–1159, (2007).

DOI: 10.1016/j.cep.2006.06.025

Google Scholar

[3] D.D. Wen, Adaptive fuzzy immune-PID control of resistance-heated Furnace temperature control system, Instrument Technique and Sensor, vol. 7, p.22, (2008).

Google Scholar

[4] W. Zima, Modeling of the dynamics of the convective heating surfaces of boilers, Arch Thermodynamics, vol. 20, p.71–92, (1999).

Google Scholar

[5] Z.F. Tian and Z.J. Zhang, Simulation on the dynamic characteristic of marine saturated steam turbine, Turbine Technology, vol. 47(2), p.90–92, (2005).

Google Scholar

[6] J.X. Shao and J.Y. Bai, Fuzzy adaptive immune nonlinear PID control and its application to superheated steam temperature control, Thermal Power Generation, vol. 06, p.65–69, (2011).

Google Scholar

[7] Y. Hong, J.M. Su, C.J. Tang and Y.N. Zhang, Research on brine flux control based on fuzzy-immune PID algorithm in freezing station, in Proceedings of 2012 IEEE International Conference on Computer Science and Automation Engineering(CSAE 2012), vol. 01, p.5, (2012).

DOI: 10.1109/csae.2012.6272547

Google Scholar

[8] Y. Wang, Fuzzy immune PID type controller design and simulation, Computer Simulation, vol. 19 (2), p.67–69, (2002).

Google Scholar

[9] X.Y. Ren, F.S. Du, H.G. Huang and S.B. Zhang, Application of improved fuzzy immune PID controller to bending control system, Journal of Iron and Steel Research International, vol. 18 (3), p.28–33, (2011).

DOI: 10.1016/s1006-706x(11)60033-2

Google Scholar