反应堆功率线性自抗扰控制方法研究

Linear Active Disturbance Rejection Control of Reactor Power

随着我国核电、风电所占比例的提升,核电厂参与电网调峰的需求日益增大,因而对反应堆功率和冷却剂平均温度的控制提出了更高的要求。设计了一种冷却剂平均温度线性自抗扰控制系统;并针对自抗扰控制器参数不易整定的问题,采用遗传算法优化。最后利用MATLAB实现了对核反应堆功率控制系统模型的仿真,并与传统控制方法进行了对比分析。仿真结果表明,针对寿期初模型优化的控制器在寿期中和寿期末均取得了较好的控制效果,证明了所用控制器参数优化方法的有效性和控制器良好的鲁棒性。

With the increase of the proportion of nuclear power and wind power, the demand that nuclear power plant participate in peak shaving will increase. Therefore, higher requirements are put forward to control the reactor power and coolant average temperature. A linear active disturbance rejection control system of average temperature of the coolant is designed in this paper. For the problem of difficult to tune LARDC parameters, we use genetic algorithms to optimize the parameters of the controller. At last, the simulation of nuclear reactor power control system is described by MATLAB, and the results are compared with the traditional method. Simulation results show that LARDC using genetic algorithm optimization for model at the beginning of the life cycle achieved good control effect at the middle and the end of the life cycle too. The validity of LADRC parameter optimization method is proved and the good robustness of the controller is showed.