基于滑模观测器的压水堆先驱核浓度在线估计  

Sliding Model Observer Based On-line Estimation of Precursor Density for Pressurized Water Reactor

作　　者：周世梁[1] 陈勃 刘玉燕[3] 

机构地区：[1]华北电力大学核科学与工程学院,北京102206 [2]中广核工程有限公司,广州深圳518124 [3]华北电力大学控制与计算机工程学院,北京102206

出　　处：《原子能科学技术》2013年第B12期573-578,共6页Atomic Energy Science and Technology

基　　金：国家自然科学基金资助项目(71301049);教育部归国留学人员科研启动基金资助项目;北京市高等学校青年英才计划资助项目(YETP0719);中央高校基本科研业务费专项资金资助项目(13MS20;13MS28)

摘　　要：缓发中子先驱核浓度是核反应堆非常重要的状态参数之一,对于核反应堆安全控制至关重要,但却无法直接测量得到。本文基于压水堆集总参数动力学模型,给出了一种基于统一二阶滑模观测器的压水堆先驱核浓度在线估计方法,分析了二阶状态量观测误差对估算结果精度的影响,并对先驱核浓度估算公式进行了改进。仿真结果表明,该方法估计精度高、估计误差收敛快、抗噪声干扰能力较强,且对模型的参数摄动具有一定的鲁棒性。Precursor density is very important parameter to one of the key state parameters of nuclear reactor, and is safety control of reactor, but it cannot be measured directly. An improved precursor density estimation algorithm was proposed based on uniform second order sliding model observer, which introduced a correction term according relationship of precursor density estimated error and second order state estimated error. The proposed algorithm was tested on a SIMULINK based lamped model of pressurized water reactor. Simulation results show that the algorithm has high accuracy, satisfactory convergence, strong noise resistance and acceptable robustness under parametric perturbations.

关 键 词：压水堆 先驱核浓度 滑模观测器 在线估计 

分 类 号：TL361[核科学技术—核技术及应用]