Fuzzy adaptive robust optimal controller to increase load following capability of nuclear reactors
Fuzzy adaptive robust optimal controller to increase load following capability of nuclear reactors
复制标题
提高核反应堆负荷跟踪能力的模糊自适应鲁棒最优控制器
DOI：
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
A. Suratgar
中科院分区：
文献类型：
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作者：
M. N. Khajavi;M. B. Menhaj;A. Suratgar
核反应堆本质上是非线性的，其参数随时间变化，作为功率、燃料燃耗和控制棒价值的函数。在负荷跟踪工况下，当电厂工况出现较大功率变化时，必须考虑上述特性。本文提出了一种基于改进的动态非单一模糊逻辑系统的模糊自适应鲁棒最优控制器（FAROC）。稳健的最优自调节调节器 (ROSTR) 响应用作参考轨迹，以确定模糊控制器的反馈、前馈和观察器增益。与 ROSTR 相比，模糊控制器在广泛的操作范围内表现出良好的稳定性和性能，并且计算时间大大减少。
Nuclear reactors are by 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 nonsingleton fuzzy logic system 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.