Abstract
Fuzzy logic applications in nuclear industry present a tremendous challenge. The main reason for this is the public awareness of the risks of nuclear industry and the very strict safety regulations in force for nuclear power plants. The very same regulations prevent a researcher from quickly introducing novel fuzzy-logic methods into this field. On the other hand, the application of fuzzy logic has, despite the ominous sound of the word “fuzzy” to nuclear engineers, a number of very desirable advantages over classical methods, e.g., its robustness and the capability to include human experience into the controller.
In this chapter, we review the available literature on fuzzy logic applications in nuclear industry, then present the initiative and progress of FLINS (Fuzzy Logic and Intelligent technologies in Nuclear Science) at the Belgian Nuclear Research Centre (SCK · CEN), and finally provide up-to-date coverage of new references on the subject from the first and second FLINS international workshops.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
H.L. Akin and V. Altin, Ride-based fuzzy logic controller for a PWR-type nuclear power plant, IEEE Trans. Nucl. Sci. 38(2) (1991) 883–890.
J. A. Bernard, Use of a rule-based system for process control, IEEE Control Systems Magazine 8(5) (1988) 3–13.
M. Bubak, J. Moscinski and J. Jewulski, Fuzzy-logic approach to HTR nuclear power plant model control, Ann. Nucl Energy 10(9) (1983) 467–471.
C.K. Cheng, L. Chaung and C.H. Chang, Fuzzy logic control of steam generator water level in pressurized water reactors, Nuclear Technology 100 (1992) 125–134.
Y.-J. Han and B.-W. Lee, Fuzzy power control algorithm for a pressurized water reactor, Nuclear Technology 106 (1994) 242–253.
S. Heger, N. K. Alang-Rashid and M. Jamshidi, Application of fuzzy logic in nuclear reactor control Part I: An assessment of state-of-the-art, Nuclear Safety 36(1) (1995) 109–121.
K. E. Holbert, A. Sharif Heger and N. K. Alang-Rashid, Redundant sensor validation by fuzzy logic, Nuclear Science and Engineering 118 (1994) 54–64.
T. Iijima, Y. Nakajima and Y. Nishiwaki, Application of fuzzy logic control systems for reactor feed-water control, Fuzzy Sets and Systems 74(1) (1995) 61–72.
C. H. Jung, C. S. Ham and K. L. Lee, A real time self tuning fuzzy controller for the steam generator through scaling factor adjustment for the steam generator of NPP, Fuzzy Sets and Systems 74(1) (1995) 53–60.
M. Kinoshita, T. Fukuzaki, T. Stoh and M. Miyake, An automatic operation method for control rods in BWR plants, in: In-Core Instrumentation and Reactor Core Assessment, Proceedings of Specialists’Meeting, Cadarache, France (1988) 213–220.
C. C. Kuan, C. Lin and C. C. Hsu, Fuzzy logic control of steam generator water level in pressurized water reactors, Nucl Technol 100(1) (1992) 125–134.
E.H. Mamdani and S. Assilian, An experiment in linguistic synthesis with a fuzzy logic controller, International Journal of Machine Studies 7 (1) (1975) 1–13.
H. Matsuoka, A simple fuzzy simulation model for nuclear reactor system dynamics, Nuclear Technology 94 (1991) 228–241.
E. Mund, Do nuclear engineering education and research still have a future?, in: D. Ruan, Ed., Basic Concepts in Nuclear Research—Core Activities at the Belgian Nuclear Research Centre, BLG 653, Nuclear Research Centre, Belgium (1994).
Y. Nishiwaki, Private Communication (1994).
T. Onisawa, An approach to human reliability in man-machine systems using error possibility, Fuzzy Sets and Systems 27 (1988) 87–103.
T. Onisawa and Y. Nishiwaki, Fuzzy human reliability and analysis on the Chernobyl accident, Fuzzy Sets and Systems 28 (1988) 115–127.
D. Ruan, FLINS, a bridge between fuzzy logic and the nuclear industrial world, International Symposium on Fuzzy Logic (Zurich, Zwitzerland, May 26–27, 1995).
D. Ruan, The BR1 research facilities to calibrate fuzzy logic technology for nuclear reactor control, in: Proceedings of BNS’96 (World Scientific, Singapore, 1996) 372–381.
D. Ruan and P. D’hondt, Fuzzy Systems in Nuclear Applications, in: First European Congress on Fuzzy and Intelligent Technologies (Aachen, Germany, September 7–10, 1993) 87–90.
D. Ruan, P. D’hondt, P. Govaerts and E.E. Kerre, Eds., Fuzzy Logic and Intelligent Technologies in Nuclear Science (World Scientific, Singapore, 1994).
D. Ruan, P. D’hondt, P. Govaerts and E. E. Kerre, Eds., Intelligent Systems and Soft Computing for Nuclear Science and Industry (World Scientific, Singapore, 1996).
D. Ruan, L. Van Den Durpel and P. D’hondt, Fuzzy engineering in nuclear research applications, in: FUZZ-IEEE/IFES’95 (Yokohama, Japan, March 20–24, 1995) 211–218.
D. Ruan, X. Yin, L. Van Den Durpel and P. D’hondt, Application of fuzzy logic control for nuclear reactor control, in: Proceedings of the 1996 International Fuzzy Systems and Intelligent Control Conference (1996) 158–166.
D. Ruan, Z. Liu, L. Van Den Durpel, P. D’hondt and A. J. van der Wal, Progress of fuzzy logic control applications for the Belgian nuclear reactor 1, in: EUFIT’96 (Aachen, Germany, September 2–5, 1996).
A.Sohier, M. Van Camp, D. Ruan and P. Govaerts, Methods for radiological assessment in the near field during the early phase of an accidental release of radioactive material using an incomplete data base, Radiation Protection Dosimetry 50(2–4) (1993) 321–325.
T. Terano, Private communication (1993).
S. Terunuma, K. Kishiwada, H. Takahashi, T. Iijima and H. Hayashi, Application of fuzzy algorithms for the feed-water control system in Fugen HWR, in: Proceedings of an International Conference on Man-Machine Interface in the Nuclear Industry (1988) 463–473.
B. Van de Walle, D. Ruan and E. E. Kerre, Implementing the Generalised Modus-Ponens in a Fuzzy Rule-Based for an Atmospheric Stability Monitoring Study, in: IEEE World Congress on Computational Intelligence (Orlando, Florida, USA, June 26-July 2, 1994) 1081–1086.
A.J. van der Wal, Application of fuzzy logic control in industry, Fuzzy Sets and Systems 74(1) (1995) 33–41.
J. Yen, R. Langari and L. A. Zadeh (Eds.), Industrial Applications of Fuzzy Logic and Intelligent Systems, IEEE Press (1995).
L.A. Zadeh, Fuzzy sets, Information and Control 8 (1965) 338–353.
H.-J. Zimmermann, Fuzzy Sets, Decision Making, and Expert Systems (Kluwer Academic Publishers, Boston, 1987).
H.-J. Zimmermann, Recent Developments in Fuzzy Logic and Intelligent Technologies, in: FI1NS’94 (World Scientific Publishers, Singapore, 1994) 3–7.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1996 Kluwer Academic Publishers
About this chapter
Cite this chapter
Ruan, D. (1996). Fuzzy Logic Applications in Nuclear Industry. In: Ruan, D. (eds) Fuzzy Logic Foundations and Industrial Applications. International Series in Intelligent Technologies, vol 8. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1441-7_15
Download citation
DOI: https://doi.org/10.1007/978-1-4613-1441-7_15
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-8627-1
Online ISBN: 978-1-4613-1441-7
eBook Packages: Springer Book Archive