核动力装置多变量模糊预测控制仿真研究

为了进一步提高核动力装置的动态控制性能，本文在核动力装置汽轮机和直流蒸汽发生器数学模型的基础上，将基于模糊模型的多变量非线性广义预测控制算法应用于核动力装置主要参数的控制中，包括控制结构和控制器设计。仿真结果显示，当核动力装置负荷的工况变化时，多变量模糊预测控制律下汽轮机相对转速和蒸汽发生器出口压力变化响应时间较经典PID控制律下的快，而PID控制律下的相对转速较多变量模糊预测控制律下的多出3%～5%的超调。由此表明，所采用的多变量模糊预测控制算法能较好地控制核动力装置主要参数的输出，可获得较好的控制效果。

Simulation Research on Multivariable Fuzzy Model Predictive Control of Nuclear Power Plant

To improve the dynamic control capabilities of the nuclear power plant, the algorithm of the multivariable nonlinear predictive control based on the fuzzy model was applied in the main parameters control of the nuclear power plant, including control structure and the design of controller in the base of expounding the math model of the turbine and the once-through steam generator. The simulation results show that the respond of the change of the gas turbine speed and the steam pressure under the algorithm of multivariable fuzzy model predictive control is faster than that under the PID control algorithm, and the output value of the gas turbine speed and the steam pressure under the PID control algorithm is 3%-5% more than that under the algorithm of multivariable fuzzy model predictive control. So it shows that the algorithm of multi-variable fuzzy model predictive control can control the output of the main parameters of the nuclear power plant well and get better control effect.