To solve the unstable and oscillatory problem of the double-loop propylene polymerization process with multivariable, coupling and nonlinearity, we propose a nonlinear model predictive control algorithm based on the Wiener-type model by modified closed-loop subspace identification(MSSARX). A linear state space model under closed-loop conditions and a nonlinear steady-state model are identified by using the modified closed-loop subspace identification method(MSSARX) and the multivariate piecewise linear(PWL)...
【基金】
Supported by National Science Technology Pillar Program of China(2012BAF05B01);
National Natural Science Foundation of China(61374121,61134007)
【更新日期】
2015-10-19
【分类号】
O231
【正文快照】
1 IntroductionThe industrial propylene polymerization reaction pro-cess,which is complex with serious nonlinear and cou-pling,is likely to cause the quality indicators(e.g.,meltindex)be fluctuated,as well as poor control accuracy of s-lurry density and hy