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核反应堆功率模糊广义预测控制
Fuzzy Generalized Predictive Control of the Nuclear Reactor Power
【摘要】 为了满足核电机组提高负荷跟随性能的需求,基于T-S模糊模型,设计了针对点堆中子动力学方程的模糊广义预测控制器。利用并行分布补偿(PDC)方法,将基于线性化方程的各局部预测控制器在强非线性的全局范围内统一起来,从而扩大了反应堆功率控制中广义预测控制器的适用范围。计算机仿真结果表明,对于三种典型的反应堆运行工况,所设计的控制器都能在保证安全的前提下,在全局范围内表现出良好的负荷跟随能力。
【Abstract】 In order to meet the need of the load-following capability of nuclear reactor,global fuzzy generalized predictive controller which is based on T-S fuzzy model,was designed for point reactor neutron kinetics equations.Using the parallel distributed compensation(PDC)method,local predictive controllers which based on the linearization equation are unified in the global and strong nonlinear range.It expands the scope of application of the generalized predictive controller in nuclear reactor power control.The simulation shows that the controller has a good global load-following capability in the three typical operating conditions and it can also ensure the safety of nuclear reactor.
【Key words】 Nuclear reactor; Power control; T-S fuzzy model; Generalized predictive control;
- 【文献出处】 核科学与工程 ,Nuclear Science and Engineering , 编辑部邮箱 ,2016年03期
- 【分类号】TM623
- 【被引频次】4
- 【下载频次】171