广义预测控制在堆芯变功率控制中的应用

Application of Generalized Predictive Control in Reactor Core Variable Power Control

针对不同功率水平下稳态中子密度造成的堆芯功率模型非线性问题,将广义预测控制(GPC)应用于堆芯功率控制,实现变工况条件下堆芯功率的自动控制。本文首先基于零功率堆芯模型和温度反馈模型建立堆芯功率模型,基于该模型阶次设计预测时域,并根据系统输入输出数据在GPC校正环节通过带遗忘因子的最小二乘法在线辨识不同功率水平下的模型参数。为验证控制器的鲁棒性,在满功率平稳运行时加入反应性扰动。基于MATLAB平台对控制器的性能进行仿真验证。结果表明,本文所设计的GPC在堆芯变工况运行时能使输出功率快速、准确地跟踪设定值,并能在线辨识不同功率水平的堆芯模型参数,具备一定的抗干扰能力。

Aiming at the nonlinear problem of the core power model caused by steady-state neutron density at different power levels,generalized predictive control(GPC)is applied to the core power control to realize the automatic control of the core power under variable working conditions.This paper firstly establishes a core power model based on zero-power core model and temperature feedback model.The prediction time domain is designed based on the order of the model,and the model parameters at different power levels are identified online by the least square method with forgetting factor in the GPC correction link according to the input and output data of the system.In order to verify the robustness of the controller,the reactive disturbance is added at full power smooth operation.The performance of the controller is verified by simulation based on MATLAB platform,and the results show that the GPC designed in this paper can quickly and accurately track the set value when the core is in variable working condition,and can identify the core model parameters of different power levels on-line,and has certain anti-interference ability.