Nonlinear identification of process dynamics using neural networks

Journal Article · Wed Jan 01 04:00:00 EST 1992 · Nuclear Technology; (United States)

OSTI ID:5776510

Parlos, A G; Atiya, A F; Chong, K T ^[1]; Tsai, W K ^[2]

---

1. Texas A and M Univ., College Station, TX (United States). Dept. of Nuclear Engineering
2. Univ. of California-Irvine, Dept. of Electrical and Computer Engineering, Irvine, CA (US)

In this paper the nonlinear identification of process dynamics encountered in nuclear power plant components is addressed, in an input-output sense, using artificial neural systems. A hybrid feedforward/feedback neural network, namely, a recurrent multilayer perceptron, is used as the model structure to be identified. The feedforward portion of the network architecture provides its well-known interpolation property, while through recurrency and cross-talk, the local information feedback enables representation of temporal variations in the system nonlinearities. The standard backpropagation learning algorithm is modified, and it is used for the supervised training of the proposed hybrid network. The performance of recurrent multilayer perceptron networks in identifying process dynamics is investigated via the case study of a U-tube steam generator. The response of representative steam generator is predicted using a neural network, and it is compared to the response obtained from a sophisticated computer model based on first principles. The transient responses compare well, although further research is warranted to determine the predictive capabilities of these networks during more severe operational transients and accident scenarios.

• OSTI ID: 5776510
• Journal Information: Nuclear Technology; (United States), Journal Name: Nuclear Technology; (United States) Vol. 97:1; ISSN 0029-5450; ISSN NUTYB
• Country of Publication: United States
• Language: English

Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
220900* -- Nuclear Reactor Technology-- Reactor Safety
99 GENERAL AND MISCELLANEOUS
990200 -- Mathematics & Computers
ACCIDENTS
ALGORITHMS
ARTIFICIAL INTELLIGENCE
COMPUTERS
EXPERT SYSTEMS
FEEDBACK
HYBRID COMPUTERS
MATHEMATICAL LOGIC
MODIFICATIONS
NONLINEAR PROBLEMS
NUCLEAR FACILITIES
NUCLEAR POWER PLANTS
POWER PLANTS
REACTOR ACCIDENTS
THERMAL POWER PLANTS
TRANSIENTS