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腈纶聚合过程属于多输入多输出(MIMO)非线性系统,聚合连续搅拌反应釜(CSTR)温度和聚合反应转化效率是腈纶聚合生产的重要工艺指标。腈纶聚合过程的非线性、强耦合,参数时变性,使得这两个指标不能同时兼顾。针对腈纶水相聚合过程,采用自适应模糊控制方法,设计了腈纶聚合连续搅拌反应釜转化率和温度的解耦控制器。首先利用反馈线性化方法对腈纶水相聚合模型进行处理,设计系统的等效控制。模糊系统可以较好地逼近非线性函数,等效控制器中的非线性和参数不确定性,可采用模糊系统进行逼近。模糊参数的求解在线实时进行,参数自适应律由Lyapunov综合法获得。针对模糊逼近误差,采用minmax鲁棒最优控制方法,抑制误差干扰项对系统的影响。系统仿真结果表明,解耦控制方法能够在保证聚合过程的转化效率的前提下,调节反应温度。该方法对于提高聚合产品的性能,对提高产品的差别化率具有重要意义。
Acrylic polymerization belongs to the multi-input and multi-output (MIMO) nonlinear system. The temperature and polymerization conversion efficiency of polymerization continuous stirred tank reactor (CSTR) are important process indicators of acrylic polymerization. Acrylic polymerization process of non-linear, strong coupling, time-varying parameters, making these two indicators can not take into account. Aiming at the polymerization process of acrylic fiber aqueous phase, an adaptive fuzzy control method was used to design a decoupling controller for the conversion rate and temperature of acrylic polymerization continuous stirred reactor. First, the feedback linearization method is used to treat the acrylic-based water phase polymerization model, and the equivalent control of the system is designed. Fuzzy system can approximate non-linear function well, nonlinearity and parameter uncertainty in equivalent controller can be approximated by fuzzy system. The fuzzy parameters are solved online in real time, and the parameter adaptive law is obtained by the Lyapunov method. Aiming at the error of fuzzy approximation, minmax robust optimal control method is adopted to suppress the influence of error interference on the system. The simulation results show that the decoupling control method can adjust the reaction temperature under the premise of ensuring the conversion efficiency of the polymerization process. The method is of great significance for improving the performance of the polymerization product and improving the differentiation rate of the product.