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首页> 外文会议>International topical meeting on nuclear plant instrumentation, control, and human-machine interface technologies >ADVANCED CONTROL ALGORITHMS FOR LIQUID METAL REACTORS
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ADVANCED CONTROL ALGORITHMS FOR LIQUID METAL REACTORS

机译：液态金属反应器的高级控制算法

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Sodium fast reactors (SFRs) present additional control challenges compared to the existing fleet of light water reactors. SFRs have additional temperature feedback effects, and temperature-caused structural expansion of core components can have significant effects. Additionally, the large sodium pool mass and the presence of intermediate heat exchangers result in time delays among major systems in the plant. The additional feedback effects, time delays, and the unique control targets of some SFR designs (i.e., constant core inlet temperature and constant temperature change across the core) suggest that traditional proportional-integral (PI) control may not be sufficient. In this research, a simplified model of the primary system of a prototypical SFR (reactor core and IHX) was developed in MATLAB-Simulink and validated against an existing high-fidelity simulator. Two competing control algorithms were applied to the Simulink model: traditional PI control and optimal model predictive control (MPC). The two algorithms were evaluated under a variety of reactor power levels (30-100% power) with external reactivity perturbations of-1 cent. In every case studied, the MPC outperformed PI control in both maximum deviation from set points and system stabilization time.
机译：与现有的轻水反应堆船队相比，钠快堆（SFR）面临着更多的控制挑战。 SFR具有附加的温度反馈作用，并且温度引起的核心部件的结构膨胀会产生显着影响。另外，大量的钠池和中间热交换器的存在导致工厂主要系统之间的时间延迟。某些SFR设计的附加反馈效果，时间延迟和独特的控制目标（即恒定的堆芯入口温度和整个堆芯的恒定温度变化）表明，传统的比例积分（PI）控制可能不够。在这项研究中，在MATLAB-Simulink中开发了原型SFR（反应堆核心和IHX）的主要系统的简化模型，并针对现有的高保真模拟器进行了验证。 Simulink模型采用了两种竞争性的控制算法：传统的PI控制和最优模型预测控制（MPC）。在各种反应堆功率水平（功率为30-100％）下，使用1美分的外部反应性扰动对这两种算法进行了评估。在所研究的每种情况下，MPC的最大偏离设定值和系统稳定时间均优于PI控制。

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