基于Wang-Mendel模型的有约束模糊预测控制  

Constrained fuzzy predictive control based on Wang-Mendel model

作　　者：张立[1] 高宪文[1] 李申明 赵娟平[1] 王介生[1] 

机构地区：[1]东北大学信息科学与工程学院,沈阳110819 [2]中冶焦耐工程技术有限公司自动化系统公司,辽宁鞍山114002

出　　处：《控制与决策》2010年第9期1384-1388,共5页Control and Decision

基　　金：国家自然科学基金项目(60334010)

摘　　要：为解决多输入系统Wang-Mendel(WM)建模过程中输入量取舍困难和未选用的输入量影响模型精度的问题,通过引入前一时刻输出作为当前时刻输入的一部分对WM建模方法进行了改进;在此基础上建立多步递推模糊预测模型.同时,为了减少有约束预测控制优化的求解时间,提出一种利用模糊控制器分担控制量及控制增量约束的模糊预测复合控制策略.通过对回转窑煅烧温度模型的仿真,验证了建模和控制方法的有效性.The Wang-Mendel（WM） modeling method is always difficult in selecting input variables, and the model accuracy is also affected without considering variables. The previous time output is applied as one of the current time inputs for improving the WM method. A recursive multi-step fuzzy predictive model is established based on the improved model. Simultaneously, in order to reduce the optimization solving time of constrained predictive control, a fuzzy-predictive composite controller is presented by using the fuzzy control to share the constraint of control quantity and control increment with the predictive control. Finally,simulation results show the effectiveness of the modeling method and the composite control strategy.

关 键 词：Wang-Mendel模型 模糊预测控制 约束 回转窑 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]