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Fuzzy Adaptive Robust Optimal Controller to Increase Load Following Capability of Nuclear Reactors

机译:模糊自适应鲁棒最优控制器以增加核反应堆的负荷跟随能力

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Nuclear reactors are in nature nonlinear and their parameters vary with time as a function of power, fuel burnup, and control rod worth. In load following condition, when large power variations occur in power plant working regime, the aforementioned characteristics must be considered. In this paper a Fuzzy Adaptive Robust Optimal Controller (FAROC) based on a proposed modified dynamic non-singleton fuzzy logic systems is presented. A Robust Optimal Self-Tuning Regulator (ROSTR) response is used as a reference trajectory to determine the feedback, feedforward and observer gains of the fuzzy controller. The fuzzy controller displayed good stability and performance for a wide range of operation as well as considerable reduction in computation time in comparison with ROSTR.
机译:核反应堆实际上是非线性的,其参数随时间的变化而变化,取决于功率,燃耗和控制棒的价值。在负荷跟随条件下,当发电厂的工作状态中发生较大的功率变化时,必须考虑上述特性。本文提出了一种基于改进的动态非单模糊逻辑系统的模糊自适应鲁棒最优控制器(FAROC)。稳健的最佳自整定调节器(ROSTR)响应用作确定模糊控制器的反馈,前馈和观察者增益的参考轨迹。与ROSTR相比,该模糊控制器在广泛的操作范围内显示出良好的稳定性和性能,并且显着减少了计算时间。

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