Abstract
Reactor coolant temperature control plays a central role among all reactor control systems because the effect of temperature control is directly related to the load tracking capability and also to the reactor protection margins, such as the over-temperature and over-power restraints. Special for the Mode-A reactor, the capacity of reactor is depending on the accurate and quality of temperature control. For example, in most of the time, all the Mode-A reactors in China are operating at basic load, so the temperature control is always worked in an simple way. But the temperature control system must also consider the quicker response and capacity to the wide range change of load, this paper based on point-kinetic model and heat transfer model in reactor, designs a suitable temperature model for control system. Considering that the traditional PID control method is difficult to solve the robustness and stability of high-order systems for large range operation, this paper uses Multi-model Predictive Control to solve this problem. According to the mechanism model, and establish nine single models, this paper online calculation model -matching degree to get recursive bayesian probability weighting, then get global prediction model. According to the global model, design Multi-model predictive control strategy. The simulation results indicate that under large conditions change, also robust and stable control performance is obtained.
