A multiple-model based internal model control method for power control of small pressurized water reactors
A multiple-model based internal model control method for power control of small pressurized water reactors
复制标题
基于多模型的小型压水堆功率控制内模控制方法
DOI：
10.1016/j.energy.2020.118527
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发表时间：
2020-11
期刊：
影响因子：
9
通讯作者：
Shifa Wu
中科院分区：
文献类型：
--
作者：
Pengfe Wang;Zhi Chen;Longtao Liao;Jiashuang Wan;Shifa Wu
小型压水堆（PWR）通常运行条件多变，运行环境复杂。设计鲁棒的控制系统以确保在大不确定性下稳定且令人满意的反应堆功率操纵具有重要意义。本文提出了一种基于多模型的内模控制（IMC）方法，用于小型压水堆的功率控制。首先在整个运行范围内从非线性反应堆堆芯模型开发出六个局部传递函数模型。然后，基于这些本地模型，使用 IMC 方案为小型压水堆设计了 6 个本地功率控制器。 IMC滤波时间常数由基于遗传算法的多目标优化确定，以在控制性能和成本之间保持良好的平衡。本地控制器通过概率加权多模型方法连接，为反应堆生成全局 IMC 系统。 IMC方案下小型压水堆的动态仿真结果以及典型暂态运行期间IMC方案相对于PID控制方案的性能评估表明，基于多模型的IMC系统具有良好的参考跟踪性能和较强的抗扰能力，证明了该方法用于小型压水堆功率控制的可行性和有效性。
Small pressurized water reactors (PWRs) usually have variable operating conditions and complex operating environments. It is significant to design a robust control system to ensure stable and satisfactory reactor power maneuvers under large uncertainties. This paper purposes a multiple-model based internal model control (IMC) method for power control of small PWRs. Six local transfer function models are first developed from a nonlinear reactor core model over the entire operating range. Then, six local power controllers are designed for a small PWR based on these local models using the IMC scheme. The IMC filter time constant is determined by the genetic algorithm based multi-objective optimization to keep good balance between the control performance and cost. The local controllers are connected by a probability-weighted multiple model approach to generate a global IMC system for the reactor. Dynamic simulation results of the small PWR under the IMC scheme as well as performance assessments of the IMC scheme against the PID control scheme during typical transient operations have shown good reference tracking performances and strong disturbance rejection capabilities of the multiple-model based IMC system, demonstrating the feasibility and effectiveness of the proposed method for the power control of small PWRs.
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影响因子：
2.8
作者：
G. Ansarifar;H. Akhavan
通讯作者：
G. Ansarifar;H. Akhavan
影响因子：
1.2
作者：
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通讯作者：
Katsuo Suzuki;Junya Shimazaki;Y. Shinohara
采用 H 无穷大混合灵敏度法的小型压水堆鲁棒功率控制设计
影响因子：
2.7
作者：
Yan, Xu;Wang, Pengfei;Zhao, Fuyu
通讯作者：
Zhao, Fuyu
影响因子：
1.5
作者：
Jiashuang Wan;Pengfei Wang;Shifa Wu;F. Zhao
通讯作者：
Jiashuang Wan;Pengfei Wang;Shifa Wu;F. Zhao
DOI：
10.1049/cp.2016.1506
发表时间：
2016
期刊：
--
影响因子：
--
作者：
Sumeet Sagar;S. Kaur;Swati Sondhi
通讯作者：
Sumeet Sagar;S. Kaur;Swati Sondhi