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PWR system simulation and parameter estimation with neural networks

机译:神经网络的压水堆系统仿真与参数估计

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摘要

A detailed nonlinear model for a typical PWR system has been considered for the devel- opment of simulation software. Each component in the system has been represented by appropriate differential equations. The SCILAB software was used for solving nonlinear equations to simulate steady-state and transient operational conditions. Overall system has been constructed by connecting individual components to each other. The validity of models for individual components and overall system has been verified. The system response against given transients have been analyzed.
机译:为了开发仿真软件,已经考虑了典型PWR系统的详细非线性模型。系统中的每个组件已由适当的微分方程表示。 SCILAB软件用于求解非线性方程,以模拟稳态和瞬态运行条件。整个系统是通过将各个组件相互连接而构建的。单个组件和整个系统模型的有效性已得到验证。分析了针对给定瞬态的系统响应。

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