低次元化モデルを用いた原子力プラントの外乱推定

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  • Disturbance Estimation of Nuclear Power Plant by Using Reduced-Order Model
  • テイジゲンカ モデル オ モチイタ ゲンシリョク プラント ノ ガイラン スイ

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An estimation method is proposed of multiplex disturbances which occur in a nuclear power plant. The method is composed of two parts: (i) the identification of a simplified model of multi-input and multi-output to describe the related system response, and (ii) the design of a Kalman filter to estimate the multiplex disturbance.<br>Concerning the simplified model, several observed signals are firstly selected as output variables which can well represent the system response caused by the disturbances. A reduced-order model is utilized for designing the disturbance estimator. This is based on the following two considerations. The first is that the disturbance is assumed to be of a quasistatic nature. The other is based on the intuition that there exist a few dominant modes between the disturbances and the selected observed signals and that most of the non-dominant modes which remain may not affect the accuracy of the disturbance estimator.<br>The reduced-order model is furtherly transformed to a single-output model using a linear combination of the output signals, where the standard procedure of the structural identification is evaded. The parameters of the model thus transformed are calculated by the generalized least square method.<br>As for the multiplex disturbance estimator, the Kalman filtering method is applied by compromising the following three items: (a) quick response to disturbance, (b) reduction of estimation error in the presence of observation noises, and (c) the elimination of cross-interference between the disturbances to the plant and the estimates from the Kalman filter.<br>The effectiveness of the proposed method is verified through some computer experiments using a BWR plant simulator.

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