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为提高火电厂制粉控制系统抗扰动的能力,在综合考虑制粉系统中各被控量历史输出和预测输出的基础上,提出了一种改进的制粉系统多模型预测控制算法。该算法在目标函数中引入了对被控量偏差的比例、积分、微分作用,改善了系统动态调节过程,减小了一次风流量和磨出口温度的波动,对于一次风的精确配风有重要意义。仿真结果表明,该算法提高了制粉系统抗煤水分扰动的能力和工况大范围变动时的稳定性,能够实现制粉系统的安全稳定经济运行。
In order to improve the anti-disturbance ability of pulverized coal control system in coal-fired power plant, an improved multi-model predictive control algorithm for pulverizing system is proposed based on the historical output and predicted output of each controlled amount in pulverizing system. The algorithm introduces the proportion, integral and differential effects on the deviation of the controlled quantity in the objective function, improves the dynamic regulation of the system, reduces the fluctuations of the primary air flow and the grinding outlet temperature, and is important for accurate air distribution of the primary air significance. The simulation results show that this algorithm can improve the ability of anti-coal moisture disturbance of milling system and the stability of the working conditions in a wide range of changes, and can realize the safe, stable and economical operation of the milling system.