基于NLJ优化算法的多变量预测函数控制  

Multivariable Predictive Functional Control Based on NLJ Optimization Algorithm

作　　者：魏环[1] 闻光辉[1] 高峰[2] 王东凯 潘立登[1] 

机构地区：[1]北京化工大学自动化研究所,北京100029 [2]中国石油公司抚顺分公司,辽宁抚顺113008

出　　处：《江南大学学报（自然科学版）》2006年第4期427-430,共4页Joural of Jiangnan University (Natural Science Edition)　

基　　金：北京市教育委员会共建项目(XK100100435)

摘　　要：基于差分方程模型推导了多变量预测函数控制算法,使其具有更加广泛的适用性.利用NLJ算法处理预测函数控制中的约束问题,简单明了,没有繁琐的数学公式推导,仿真结果证明了该算法的有效性,为预测控制约束问题的处理提供了一种新的途径.Multivariable predictive functional control based on difference equation, which has more general applicability, is presented. Using NLJ optimization algorithm to deal with constraints problems in the predictive functional control, multivariable predictive functional control with constraints based on NLJ optimization algorithm is also shown. The NLJ optimization algorithm, which supplied a new method for predictive functional control with constraints, is very easy to understand and adjust with no more formulations, and can gain better results.

关 键 词：NLJ优化算法 系统约束 多变量预测函数控制 

分 类 号：TP273.1[自动化与计算机技术—检测技术与自动化装置]