PID Controller Design Based on Radial Basis Function Neural Networks for the Steam Generator Level Control

Xiangsong, Kong; Xurui, Chen; Jiansheng, Guan

doi:10.1515/cait-2016-0048

Abstract

Steam generator level control system is a vital control system for the Pressurized Water Reactor (PWR). However, the steam generator level process is a highly nonlinear and non-minimum phase system, the conventional Proportional- Integral-Derivative (PID) control scheme with fixed parameters was difficult to obtain satisfactory control performance. The Radial Basis Function (RBF) Neural Networks based PID control strategy (RBFNN-PID) is proposed for the steam generator level control. This method can identify the mathematical model of the steam generator via the RBF neural networks, and then the PID parameters can be optimized automatically to accommodate the characteristic variation of the process. The optimal number of the hidden layer neurons is also discussed in this paper. The simulation results shows that the PID controller designed based on the RBF neural networks has good control performance on the steam generator level control.

References

1. Mayuresh, V. K. Level Control in the Steam Generator of a Nuclear Power Plant. - IEEE Transactions on Control Systems Technology, Vol. 8, 2000, No 1, pp. 55-69.10.1109/87.817692
Search in Google Scholar Back to article
2. Ablay, G. Robust Estimator-Based Optimal Control Designs for U-Tube Steam Generators. - Transactions of the Institute of Measurement and Control, Vol. 37, 2015, No 5, pp. 636-644.10.1177/0142331214534292
Search in Google Scholar Back to article
3. Fang, F., Y. Xiong. Event-Driven-Based Water Level Control for Nuclear Steam Generators. - IEEE Transactions on Industrial Electronics, Vol. 61, 2014, No 10, pp. 5480-5489.10.1109/TIE.2014.2301735
Search in Google Scholar Back to article
4. Irving, E., C. Miossec, J. Tassart. Toward Efficient Full Automatic Operation of the PWR Steam Generator with Water Level Adaptive Control. - In: Proc. of 2nd Int. Conf. Boiler Dynamics and Control in Nuclear Power Stations, Bournemouth, U.K., October 1979, pp. 309-329.
Search in Google Scholar Back to article
5. Feliachi, A., L. A. Belbelidia. Suboptimal Level Controller for Steam Generators in Pressurized Water Reactors. - IEEE Trans. Energy Convers. Vol. 3, 1988, pp. 278-284.10.1109/60.4731
Search in Google Scholar Back to article
6. Parlos, A. G., O. T. Rais. Nonlinear Control of U-Tube Steam Generators via H∞ Control. - Control Eng. Pract., Vol. 8, 2000, pp. 921-936.10.1016/S0967-0661(00)00020-4
Search in Google Scholar Back to article
7. Na, M. G. Auto-Tuned PID Controller Using a Model Predictive Control Method for the Steam Generator Water Level. - IEEE Trans. Nucl. Sci., Vol. 48, 2001, pp. 1664-1671.10.1109/23.960354
Search in Google Scholar Back to article
8. Ansarifar, G. R. Control of the Nuclear Steam Generators Using Adaptive Dynamic Sliding Mode Method Based on the Nonlinear Model. - Annals of Nuclear Energy, Vol. 88, 2016, pp. 280-300.10.1016/j.anucene.2015.11.014
Search in Google Scholar Back to article
9. Na, M. G. Design of Genetic Fuzzy Controller for the Nuclear Steam Generator Water Level Control. - IEEE Trans. Nucl. Sci., Vol. 45, 1998, pp. 2261-2271.10.1109/23.709657
Search in Google Scholar Back to article
10. Åström, K. J., T. Hägglund. PID Controllers: Theory, Design and Tuning. 2nd Ed. Research Triangle Park, NC: Instrum. Soc. Amer., 1995.
Search in Google Scholar Back to article
11. Haykin, S. Neural Networks: A Comprehensive Foundation. 3rd Ed. NJ, USA, Prentice-Hall, Inc., 2007.
Search in Google Scholar Back to article
12. Wang J.-J., C.-F. Zhang, Y.-Y. Jing. Self-Adaptive RBF Neural Network PID Control in Exhaust Temperature of Micro Gas Turbine. - In: Proc. of 7th International Conference on Machine Learning and Cybernetics, Vol. 4, July 2008, Kunming, China, pp. 12-15.
Search in Google Scholar Back to article
13. Elanayar, S. V. T., Y. C. Shin. Radial Basis Unction Neural Network for Approximation and Estimation of Nonlinear Stochastic Dynamic Systems. - IEEE Transaction on Neural Network, Vol. 5, 1994, No 4, pp. 584-603. 10.1109/72.29822918267832
Search in Google Scholar Back to article

PID Controller Design Based on Radial Basis Function Neural Networks for the Steam Generator Level Control

Abstract

Paradigm

My account