基于双层反馈控制器的核电站稳压器优化控制

Optimal Control of Nuclear Power Plant Pressurizer Based on Double Feedback Controller

对具有复杂系统的核电站稳压器,为了获得令人满意的控制效果,将引入新型的控制器。以压水堆稳压器为研究对象,采用双层反馈的模糊自适应PID智能控制算法。一层反馈是常规反馈（长反馈）,二层反馈是短反馈。建立稳压器压力和水位控制的仿真模型,利用改进量子粒子群（IQPSO）算法去优化模糊自适应PID的比例因子和量化因子。仿真结果表明：经过算法的参数寻优,该双层反馈控制器较常规PID控制具有更加优良的控制指标和扰动抑制能力。

For a nuclear power plant with complex systems, a new controller is introduced in this paper, in order to obtain satisfactory results. Taking PWR regulator as the research object, we use the fuzzy adaptive PID intelligent control algorithm with double feedback. A layer of feedback is the conventional feedback（long feedback）, the two-layer feedback is short feedback. A simulation model for the pressure and water level control of the voltage stabilizer is established. Besides, we prepare the improved quantum particle swarm（IQPSO） program to optimize the scaling factor and quantization factor of fuzzy adaptive PID. The simulation results show that： by optimizing parameters of the algorithm, the double feedback controller compared with the conventional PID control has better control index and disturbance attenuation capability.