Multi-model Predictive Control for Pressurized Water Reactor
In A-Mode operating pressurized water reactor (PWR), the temperature control system of reactor coolant in primary loop undertakes many tasks, such as load tracking, over-temperature restraint in the core, over-power and other important functions. In a sense, the coolant temperature control is the most important part in reactor control. Currently, most nuclear power plants are running with a basic load in China, with a loose requirement to the sensitivity and response speed of temperature control system. However, with the increase of nuclear power plants, the capacity of changing load in a wide range and swift speed is more and more important. Hence, the model uncertainty should be considered in the control system design to increase the robustness of control system. For such high-order object, traditional PID control method can rarely meet the stability and robustness of control system. Based on point-kinetic model and heat transfer model in reactor, this article designs a suitable temperature model for control purpose, by using multi-model predictive control strategy. The simulation results indicate that the system can reach stable condition under large load change condition.
Multi-model bayesian probability weighting point reactor model Predictive Control
Yu Yun Cui Hairong XJ.Liu
Department of Control and computer engineer North China Electric Power University Beijing, P.R. China
国际会议
重庆
英文
206-210
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）