约束预测控制在低氮燃烧机组过热蒸汽温度控制系统中的应用

摘要

针对某低氮燃烧机组运行过程产生的燃烧滞后、汽温波动大等问题,提出一种带有约束优化的预测控制算法,并将其应用到电厂过热蒸汽温度控制系统中,构成串级预测控制系统.仿真结果表明:带有约束的过热蒸汽温度串级预测控制系统的控制量能被有效控制在约束范围内,系统的抗干扰性和鲁棒性均优于常规PID控制系统,过热蒸汽温度控制品质得到很大提升.%In view of the problems of combustion delay and steam temperature heavy fluctuation in the generation process of a low NOx combustion power plant,a predictive control algorithm with constrained optimization is proposed and applied to the superheated steam temperature control system of the power plant to construct a cascade compensation predictive control system,which is verified through simulation.The simulation results show that with the constraints of the superheated steam temperature cascade predictive control system,the controlled variable can be restrained effectively within the constraint range,and the system has the anti-jamming and robustness characteristics better than those of the conventional control system.Therefore,the superheated steam temperature control quality has been greatly improved.