核动力装置非线性模型预测协调控制仿真研究

Simulation research on the multivariable model predictive control of the nuclear power

为了进一步提高核动力装置的动态控制性能,本文在阐述核动力装置汽轮机和直流蒸汽发生器的数学模型的基础上,提出将非线性模型预测协调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,多变量非线性预测控制律下汽轮机相对转速和蒸汽发生器出口压力的变化能较快地稳定下来。由此表明,所采用的多变量非线性预测控制算法能够较好地控制核动力装置主要参数的输出,可以获得较好的控制效果。

For more improve the dynamic control capabilities of the nuclear power, this paper put forward to apply the algorithm of the nonlinear model predictive coordinated control in the main parameters of the nuclear power, 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 result show that the change of the gas turbine speed and the steam pressure under the algorithm of the nonlinear model predictive coordinated control can fast stabilize. So it show that the algorithm of nonlinear model predictive coordinated control can better control the output of the main parameters of the nuclear power and get the better control effect.