二阶差分模型预测控制在热工过程中的应用  

The Application of Second Order Difference Model Predictive Control in Thermal Process

作　　者：李轩 杨文健 秦鹏程 Li Xuan;Yang Wenjian;Qin Pengcheng(Department of Automation,North China Electric Power University,Hebei,Baoding,071003,China)

机构地区：[1]华北电力大学自动化系,河北保定071003

出　　处：《仪器仪表用户》2021年第2期96-99,共4页Instrumentation

摘　　要：提出了一种基于二阶差分模型的模型预测控制算法(MPC)。区别于传统模型预测控制算法,该算法是在传统模型预测控制的内部控制模型的基础上,增加了两个嵌入式积分器,利用二阶差分运算和被控对象模型得到了一个带两个嵌入式积分器的被控对象增广模型。相较于传统预测控制算法,该方法不需要参考参数的信息,但仍可利用传统预测控制算法中所采用的反馈校正和滚动优化策略来得到控制律。针对该算法在电厂过热汽温控制中的应用进行了仿真研究,仿真结果表明,对于具有大迟延、大惯性和时变性特性的电厂过热汽温过程,该算法具有良好的控制性能。A model predictive control algorithm(MPC)based on second-order difference is proposed.An augmented model with two embedded integrators is obtained by using the second order difference operation and the controlled object model.The superheated steam temperature model of power plant is taken as the controlled object for experimental simulation research.The application of the algorithm in the control of superheated steam temperature of power station boiler with large lag and time variation is simulated.Finally,the simulation results show that the algorithm has good control performance.

关 键 词：模型预测控制 过热汽温控制 二阶差分模型 嵌入式积分器 状态空间模型 

分 类 号：O231.3[理学—运筹学与控制论]