基于局部建模的预测控制及其在芳烃异构化过程的应用

摘要

A predictive control algorithm based on local modeling is presented for a class of non-linear systems. In order to obtain reasonable training data, both the Euclidean distance between the sample data and angle of vector are considered. And the algorithm is applied in the simulation control of aromatics isomerization process. Firstly, the local-model is obtained as predictive model by least squares support vector machine (LS-SVM) algorithm. And then, the control values are obtained by the rolling particle swarm optimization (PSO) algorithm. Finally, the presented algorithm is applied in the simulation control of aromatics isomerization process, and the results show the effectiveness and robustness of the algorithm.%针对一类非线性系统提出了基于局部建模的预测控制算法,对于局部模型的训练数据选取,同时考虑了样本数据之间的欧氏距离与向量的夹角,使得训练数据的选取更合理,并对芳烃异构化过程进行了实验仿真.首先通过最小二乘支持向量机进行局部建模,并将局部模型作为算法的预测模型.然后利用粒子群优化算法进行滚动优化,寻找到最优控制量.最终仿真实验验证了该算法的有效性和鲁棒性.