Fuzzy Control of Deaerator Water-Level in Nuclear Power Station Based on MATLAB/Simulink

Yan Fen Liao; Shao De Guo; Guang Yang; Xiao Qian Ma

doi:10.4028/www.scientific.net/AMM.291-294.2397

Paper Titles

Investigation on the Mode of Investment Management and Value Compensation in Pumped Storage Power Plant
p.2375

Reliability Parameters Forecasting for Transmission Lines Based on Principal Component Regression
p.2381

A Weather Dependent Failure Rate Model for Overhead Lines
p.2387

Improvement of Box-Type Substation for Port
p.2393

Fuzzy Control of Deaerator Water-Level in Nuclear Power Station Based on MATLAB/Simulink
p.2397

Reliability Enhancement Test on Undercarriage Signal Light Box
p.2403

A Minimum-Energy Consumption Control Algorithm for Omni-Directional Mobile Robots
p.2408

Periodic Solution of a Class Predator-Prey System with Rate Stocking and Time Delay
p.2412

Research on Pressurizer Pressure Control System Based on BP Neural Network Control of Self-Adjusted PID Parameters
p.2416

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 291-294Fuzzy Control of Deaerator Water-Level in Nuclear...

Fuzzy Control of Deaerator Water-Level in Nuclear Power Station Based on MATLAB/Simulink

Abstract:

Deaerator system was one of major components in nuclear power station, and the deaerator water level control was important for safe and stable operation of the nuclear power station. The deaeration system was difficult multi variables process system, which was strong coupling between water-level and pressure. In this paper, a self-tuning fuzzy PID controller was designed based on PID control and fuzzy control theory, which instead of PID controller to control deaerator water-level. Simulation based on Simulink, simulation results showed that the overshoot was 40% by using traditional PID controller, while the overshoot was 12% by using self-tuning fuzzy PID controller. On the other hand, a fuzzy decoupling control scheme was designed to solve the problem of strong coupling between water-level and pressure. Simulation based on Simulink, simulation results showed that the adaptive fuzzy PID decoupling control could get quicker response, overshoot and regulation time was shorter.

You might also be interested in these eBooks

Advances in Energy Science and Technology

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 291-294)

Pages:

2397-2402

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.291-294.2397

Citation:

Cite this paper

Online since:

February 2013

Authors:

Yan Fen Liao, Shao De Guo, Guang Yang, Xiao Qian Ma

Keywords:

Deaerator, Decoupling Control, Fuzzy Control, PID Control, Simulink

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Nag: Power Plant Engineering 3e (Tata McGraw-Hill Education, USA 2008).

Google Scholar

[2] S.T. Karris: Introduction to Simulink: With Engineering Applications(Orchard Publications, USA 2011).

Google Scholar

[3] J.M. Zheng, S.D. Zhao, and S.G. Wei ：Contr. Eng. Pract. Vol. 17(2009), pp.1398-1404.

Google Scholar

[4] K.K. Ahn and D.Q. Truong: J. Process Contr. Vol. 19(2009), P. 1011-1023.

Google Scholar

[5] I. Pan, S. Das, and A. Gupta: ISA Trans. Vol. 50(2011), p . 28-36.

Google Scholar

[6] S. Soyguder, M. Karakose, and H. Alli : Expert. Syst. Appl. Vol. 36(2009), pp.4566-4573.

Google Scholar

[7] L. Wang, W.C. Du, H. Wang, and H. Wu: J. Nat. Gas. Chem. Vol. 17(2008), p . 409-414. (In Chinese).

Google Scholar

[8] X.M. Shi: Fuzzy Control and its MATLAB Simulation(Tsinghua University Press, China 2008). (In Chinese).

Google Scholar

[9] M.Y. Fu, Z.H. Ding, G.Q. Xia, and K.L. Fan，Research on the Fuzzy Decoupling in the Coordinated Control System of Nuclear Power Plant, IEEE Int. Conf. on Harbin Eng. Univ., Harbin, China, p.405 – 410 September (2008).

DOI: 10.1109/ical.2008.4636185

Google Scholar

[10] Xu, C.W.: Fuzzy Set. Syst. Vol. 44(1991), p . 209-217.

Google Scholar