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In order to control the water level in power plant, an adaptive inverse control based on neural network is presented in this paper. It adopted the steam flux signal to the inverse controller considering the influence of load changing, which has feed-forward compensation for steam flux disturbance and can avoid "false water level" phenomenon. At the same time, the whole input signals of controlled...
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