摘要
针对火电厂过热汽温控制的特点,提出了一种基于ARX-Laguerre模型的PID预测控制算法(ALMPCPID),该算法使用增量式的ARX-Laguerre模型作为预测模型,将滚动优化的性能指标改为PID控制器的形式,并利用带遗忘因子的最小二乘递归方法对模型参数进行在线辨识。将ALMPCPID算法应用于过热汽温控制系统进行仿真研究,仿真结果表明该方法可有效应对过热汽温系统的特性变化带来的影响,控制效果优于常规预测控制策略,具有很好的应用价值。
According to the characteristics of superheat steam temperature control in thermal power plants, a PID predictive control method based on ARX-Laguerre model(ALMPCPID) is proposed. This algorithm uses the incremental ARX-Laguerre model as its prediction model and change the performance index of rolling optimization into the form of PID controller. Then the least squares recursive method with forgetting factor is used to identify the model parameters online. The ALMPCPID algorithm is applied to the superheated steam temperature control system for simulation study. The simulation results show that this method can effectively deal with the influence of the characteristic change of the superheated steam temperature system, and the control effect is better than the conventional predictive control strategy. So the ALMPCPID algorithm has good application value.
作者
郭伟
张鹏程
李涛
朱承平
GUO Wei;ZHANG Peng-cheng;LI Tao;ZHU Cheng-ping(School of Automation,Nanjing University of Information Science and Technology,Nanjing 210044,China;Jiangsu Collaborative Innowation Center of Atmospherie Environment and Equipment Technology,Nanjing 210044,China)
出处
《控制工程》
CSCD
北大核心
2021年第3期524-530,共7页
Control Engineering of China
基金
国家自然科学基金(61573189)。
