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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 increasing proportion of nuclear power and wind power in our country, the demand for nuclear power plants to participate in peak regulation of power grids is increasing day by day. Therefore, higher requirements are placed on the control of reactor power and average coolant temperature. A linear temperature-dependent ADRC system based on coolant temperature arid designed was designed. Genetic algorithm (GA) was also applied to solve the problem that parameters of ADRC controller were not easy to set. Finally, the simulation of the nuclear power reactor power control system was realized by MATLAB, and compared with the traditional control methods. The simulation results show that the controller optimized for the initial stage of the life cycle achieves better control performance both at the end of life and the end of the life cycle. The validity of the controller optimization method and the robustness of the controller are proved.