Abstract
Malfunction of steam generator water level control is the main cause of unexpected shutdowns in nuclear power plants. Particularly at low powers, it is a difficult task due to shrink and swell phenomena and flow measurement errors. In addition, the steam generator is a highly complex, nonlinear and time-varying system and its parameters vary with operating conditions. Therefore, it seems that design of a suitable controller is a necessary step to enhance plant availability factor. The purpose of this paper is to design, analyze and evaluate a water level controller for U-tube steam generators using neural networks. To attain a good performance in all powers, the proposed system uses a fuzzy system as gain-scheduler. Computer simulations show that the proposed controller improves transient response of steam generator water level through the entire range of operation and demonstrate its superiority to existing controllers.
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