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A novel adaptive generic model control strategy for internal thermally coupled air separation columns with multivariable recursive estimation
Computers & Chemical Engineering ( IF 4.3 ) Pub Date : 2021-05-01 , DOI: 10.1016/j.compchemeng.2021.107348
Ja'afar Sulaiman Zangina , Wenhai Wang , Weizhong Qin , Weihua Gui , Youxian Sun , Shenghu Xu , Chunhua Yang , Daoxiong Xie , Yalin Wang , Xinggao Liu

A gasification process is key in clean electricity production and decarbonization in an integrated gasification combined cycle (IGCC) plant. The quality of the gasification process depends on the stability of the product-concentration streamed from the internal thermally coupled air separation column (ITCASC) unit. There is a need for a stable product-concentration supply to sustain clean electricity production. A proportional-integral-derivative control (PID) control and a nonlinear internal model control (NIMC) scheme are first explored to control the IGCC-ITCASC. Moreover, a robust generic model control (RGMC) is employed to deal with the IGCC-ITCASC inherent nonlinearity and strong interaction that make it very difficult to control. To obtain a satisfactory control performance, an adaptive generic model control (AGMC) with a multivariable recursive estimation is developed. The compared control systems show that AGMC can better handle both the system nonlinearity and strong interaction while improving the control performance.



中文翻译:

具有多变量递归估计的内部热耦合空气分离塔的新型自适应通用模型控制策略

在综合气化联合循环(IGCC)厂中,气化过程是清洁电力生产和脱碳的关键。气化过程的质量取决于从内部热耦合空气分离塔(ITCASC)单元流出的产品浓度的稳定性。需要稳定的产品浓度供应以维持清洁电力生产。首先研究了比例积分微分控制(PID)控制和非线性内部模型控制(NIMC)方案来控制IGCC-ITCASC。此外,采用了鲁棒的通用模型控制(RGMC)来处理IGCC-ITCASC固有的非线性和强烈的交互作用,这使其很难控制。为了获得令人满意的控制性能,开发了具有多变量递归估计的自适应通用模型控制(AGMC)。经过比较的控制系统表明,AGMC可以更好地处理系统非线性和强大的交互作用,同时提高控制性能。

更新日期:2021-05-17
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