Abstract
Optimal H∞ estimation theory is formulated as a minimax problem, where the maximum "energy" of estimation error over all disturbance trajectories in L2 functional space is minimized in the sense of H∞-norm. In the present study we investigate a design method based on optimal H∞ estimation theory in order to design a reactivity estimator for a fast breeder reactor, and discuss some characteristics of the estimator. The proposed methodology takes into account design specifications as frequency weights for the objective function. Applying the method to a system model containing point reactor kinetic equations and a reactivity state equation driven by fictitious noise, the reactivity estimators are designed. Numerical simulation results show quick estimation response of the optimal H∞ estimator and good estimation of net reactivity changes caused by various disturbances.
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