电气传动2011，Vol.41Issue(8)：33-36,60,5.
基于RBF-ARX模型的多变量系统非线性预测控制
Nonlinear Predictive Control for Multivariable System Using RBF - ARX Model
摘要
Abstract
A nonlinear predictive control algorithm was proposed for multivariable die-casting processes of die-casting machine based on RBF - ARX model. By constructed global nonlinear dynamic RBF - ARX model referenced on historical data and mechanism model.the structured nonlinear parameter optimization method is developed to estimate and optimize parameters of RBF- ARX model off-line,finally determined the predictive system structure and steps forward output. Speed set point tracking comparison with traditional PID control shows nonlinear predictive control algorithm based on RBF - ARX model has good dynamic characteristics and high control precision.关键词
压铸机/非线性预测控制/有源自回归模型/径向基函数神经网络Key words
die-casting machine/ nonlinear predictive control /fuzzy auto-regressive with extra inputs model/ radial basis function neural network分类
信息技术与安全科学引用本文复制引用
彭继慎,宋鹏,刘鉴..基于RBF-ARX模型的多变量系统非线性预测控制[J].电气传动,2011,41(8):33-36,60,5.基金项目
辽宁省高等学校优秀人才支持计划(2008RC25) （2008RC25）
辽宁工程技术大学研究生科研立项资助(Y201000402) （Y201000402）
