为了维持锅炉主蒸汽温度良好的控制品质，提出基于改进自适应广义预测控制(A-PIGPC)的主蒸汽温度预测控制方法。首先，对锅炉主蒸汽温度高阶模型进行降阶，建立一阶加纯滞后(FOPDT)模型，并根据实际情况考虑了输入约束条件；然后，对广义预测控制(GPC)算法的优化性能指标进行改进，使其具有PI反馈结构，采用带遗忘因子的递推最小二乘法(RLS)在线辨识模型参数，满足变工况的需要；最后，进行MATLAB仿真验证所提方法的有效性。研究表明：A-PIGPC优于常规PID和GPC、预测函数控制(PFC)控制方法，且在变工况下有较强的鲁棒性。

In order to maintain good control quality of the boiler main steam temperature an A-PIGPC (improved adaptive generalized predictive control) is proposed for the main steam temperature control system.First of all,FOPDT (first order plus dead time) model is established by reducing the higher order model of the main steam temperature of boiler,and considering the input constraints according to the actual situation.Then,the optimal performance index of GPC (generalized predictive control) algorithm is improved to have PI feedback structure,and RLS (recursive least squares) with forgetting factor is applied to identify the parameters of the model to meet the requirements of variable working conditions.Finally,the effectiveness of the proposed method is verified by Matlab simulation.The simulation results show that A-PIGPC is superior to conventional PID,GPC,and PFC (predictive function control) control methods,and it also has strong robustness under variable conditions.

TK32

国家自然科学基金(61304019,61673401,51674042)；湖南省教育厅重点项目(17A005)