基于Wiener模型的pH中和过程非线性DMC控制

pH Neutralization Process Nonlinear Dynamic Matrix Control Based on Weiner Model

化工生产过程中常常涉及到pH值的控制,pH中和过程具有很强的非线性特性。通过对中和过程非线性特性的分析,引入了对象的Wiener模型,将中和过程的非线性特性分离。同时针对线性动态矩阵控制(DMC)存在的问题,采用分层优化的策略,提出了基于此模型的带有自校正参数辨识的非线性动态矩阵控制算法,实现了pH值的高精度控制。该方法具有很强的稳定性和鲁棒性,对于抑制过程流中存在的扰动,取得了比线性预测控制更好的控制效果。

Chemical production process often involves pH control,but pH neutralization process has the characteristics of strong nonlinearity.By the analysis of the nonlinear characteristics in neutralization process,the Weiner model of the object was introduced and the nonlinear characteristics were separated.At the same time,for the linear DMC problems,stratified optimization strategy was adopted and the nonlinear dynamic matrix control algorithm was raised with self-correction parameter identification based on this model.This method has strong robustness and stability and gets better control effect than linear predictive control for restraining the disturbance in process flow.