数据驱动闭环子空间预测控制方法研究与应用

提出一种完全数据驱动的闭环子空间辨识及预测控制器设计方法. 该方法完全由闭环系统的输入输出数据辨识子空间矩阵, 通过子空间矩阵的拆分, 排除了与扰动相关的模型输入, 进而获取子空间矩阵参数的无偏估计; 将辨识得到的闭环系统子空间矩阵描述直接作为预测模型, 设计预测控制器; 将其应用于某钢铁集团焦炉炭化室压力控制系统, 取得了良好的控制效果.

Research and application of closed-loop subspace predictive control based on data driven

A full data-driven method of closed-loop subspace identification and predictive controller design is presented, in which the subspace matrix is completely identified through the input and output data of the closed-loop system. By splitting the subspace matrix and eliminating the input of the model correlated to disturbance, the unbiased estimators of the parameters of the subspace matrix are obtained. The predictive controller is designed by using the closed-loop system subspace matrix which is obtained by identifying directly as the forecasting model. The control method is applied to the pressure regulating system for the coking chamber of an iron and steel group, and good performence is obtained.