Frequent and wide-range load changes in small pressurized water reactors applied for nuclear-powered devices are necessary under complex and harsh conditions. However, the traditional power regulation method does not consider the stroke of the control rod, which seriously affects the service life of the control rod drive mechanism. This paper proposes a data-driven reactor power regulation system (RPRS) based on the hybrid feedforward and feedback control theory. Different adjustment regions are set in the controller to adjust the proportion of the feedforward and feedback signals dynamically. The polynomial fitting method and particle swarm algorithm are applied to optimize the size of the different adjustment regions. Typical load change conditions are applied to test and verify that the data-driven RPRS can efficiently shorten the overshoot of the control rod position and improve the performance of the power regulation system. The robustness of the data-driven RPRS is also demonstrated by simulation.

在复杂和苛刻的条件下，有必要在应用于核动力装置的小型压水堆中频繁且大范围地改变负荷。但是，传统的功率调节方法没有考虑控制杆的行程，严重影响了控制杆驱动机构的使用寿命。本文提出了一种基于混合前馈和反馈控制理论的数据驱动反应堆功率调节系统（RPRS）。在控制器中设置不同的调整区域，以动态调整前馈和反馈信号的比例。应用多项式拟合方法和粒子群算法来优化不同调整区域的大小。应用典型的负载变化条件来测试和验证数据驱动的RPRS可以有效地缩短控制杆位置的过冲并改善功率调节系统的性能。数据驱动的RPRS的鲁棒性也通过仿真得到证明。