A Novel PID Self-Tuning Method Based on Closed-Loop Identification Used in Nuclear Power Plants

Pengbin Zhang, Kunpeng Xing, Tao Zou, Zhijia Yang, Jingyang Wang, Hongrui Wang
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Abstract

Nuclear power is one of several significant clean energy and its production capacity is increasing rapidly. This paper proposed a novel PID self-tuning method based on closed-loop identification used in nuclear power plants to deal with the turbine’s load tracking problem. A setpoint-shifting method is adopted to achieve the informativity of the closed-loop system, and the PID parameters are designed through an optimization method. For validating the proposed method, this paper modeled a pressurized-water reactor (PWR) nuclear power plant, a complex system consisting of three circuits, through the first principle. The primary circuit contains three main devices: a nuclear reactor, a pressurizer, and a steam generator. The models of these three devices are provided by previous literature separately. The whole model is generated through mass and energy balance. This mechanism model is used as the plant model, while the identified model is used as the control model. The initial PID parameters are set through open-loop identification using an external excitation. Then the proposed method works online to track the turbine’s load in time. The effectiveness of the proposed method is illustrated by simulations.
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一种新的基于闭环辨识的PID自整定方法在核电站中的应用
核能是几大重要的清洁能源之一,其产能正在迅速增长。针对核电机组的负荷跟踪问题,提出了一种基于闭环辨识的PID自整定方法。采用设定点移位法实现闭环系统的信息性,并通过优化方法设计PID参数。为了验证所提出的方法,本文通过第一原理对一个由三个回路组成的复杂系统压水堆(PWR)核电站进行了建模。主回路包含三个主要装置:核反应堆、稳压器和蒸汽发生器。这三种装置的型号分别由以往文献提供。整个模型是通过质量和能量平衡产生的。该机制模型被用作植物模型,而识别的模型被用作控制模型。通过外部激励开环辨识设置初始PID参数。该方法可以在线实时跟踪汽轮机的负荷。仿真结果表明了该方法的有效性。
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