核反应堆中子通量密度的广义预测控制方法研究
Study on Generalized Predictive Control for the Neutron Flux Density of the Nuclear Reactor
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摘要: 将核反应堆中子动力学系统的数学模型变换成一种受控自回归积分滑动平均(CARIMA)模型,在此基础上,提出了中子通量密度的广义预测控制方法。该控制律能有效消除不确定干扰和非线性因素对系统的不良影响,提高系统的控制精度和动态品质。通过计算机仿真比较,证明了该方法优越于古典控制方法。Abstract: The mathematical model of the neutron dynamic system of the nuclear reactor is transformed into a sort of controlled autoregressive integrated moving average (CARIMA) model. A generalized predictive control method for the neutron flux density is developed. This new control strategy can efficiently eliminate the influence of uncertain perturbations and nonlinearity and can enhance control precision and dynamic qualities of the system. The advantages over the classical control methods are demonstrated by computer simulation.