隔壁塔是解决化工领域中精馏能耗高、热力学效率低等问题的极具潜力热耦合塔，但由于操控变量多、变量间耦合作用强烈，使得隔壁塔在动态控制方面存在操控参数与目标参数控制匹配度不佳、辨识扰动的灵敏性与鲁棒性存在矛盾、过于依赖物系选择的问题，限制其节能特性的发挥及工业应用。本项目以提升隔壁塔控制系统的设计准确性为目标，以交叉并融合多变量统计过程和隔壁塔的动态控制技术为手段，利用参数从高维变量空间转换为低维空间的降维投影模式，筛选贡献参数并发展降维标准的动态更新体系，探索贡献参数与目标参数控制对应模式的耦合机理；并且利用多参数阶跃扰动和多分离指数混合物系的检测，实验验证并修正降维标准和非平衡级动态控制模型，进而实现隔壁塔动态控制方案的滚动优化，发展一种物系依赖度低、参数刺激直接以及鲁棒性良好的隔壁塔控制模型及其控制系统设计方法。

The dividing wall column (DWC) is a potential thermal-coupled distillation column to solve the distillation problems of high energy-consumption and low thermal efficiency in chemical industry. So far, the excessive design freedoms and complicated coupling effects among the parameters in DWC make the mismatching between the control and the target variables, the contradiction between identified disturbance sensitivity and robustness, and the dependence on separation mixtures in control system, which limits industrial extension and utility of DWC. To promote the design accuracy of control system, this project takes a new projective mode in which the high-dimensional variable space of parameters is converted into the low-dimensional one, screens the contribution parameters from that mode, develops dynamic updating system of dimension reduction standard, and explores coupling mechanism of corresponding pattern between the contributive and the objective parameters by the way of interacting and blending multivariate statistical process and dynamic control technology of DWC. This project also designs to test and modify dimension reduction standard and non-equilibrium stage dynamic control model by step disturbances of multi-parameters and choosing different separation mixtures that have various separation indexes in experiments, which realizes the rolling optimization for DWC control strategy, develops a control model and its design method of DWC which have the characteristics of direct parameters stimulation, well robustness, low dependence on separation mixtures.