基于特征模型的预测函数控制

上海大学学报(自然科学版)

基于特征模型的预测函数控制

吴建国1，2，费敏锐2，张培建1，盛海明1

1.南通大学电气工程学院，南通 226007； 2.上海大学机电工程与自动化学院，上海 200072

收稿日期:2005-10-26 修回日期:1900-01-01 出版日期:2007-04-30 发布日期:2007-04-30
通讯作者: 吴建国

Predictive Functional Control Based on Characteristic Model

WU Jian-guo1,2,FEI Min-rui2,ZHANG Pei-jian1,SHENG Hai-ming1

1. School of Electrical Engineering, Nantong University, Nantong 226007, China; 2. School of Mechatronical Engineering and Automation, Shanghai University, Shanghai 200072, China

Received:2005-10-26 Revised:1900-01-01 Online:2007-04-30 Published:2007-04-30
Contact: WU Jian-guo

摘要/Abstract

摘要： 传统的预测函数控制通常采用一阶的预测模型，该预测模型不能完全表征被控对象，因此使得传统的预测函数控制的鲁棒性受到一定限制.特征模型是一种比动力学模型简单，但能表征被控对象特征的模型.该文针对预测函数控制算法的缺陷，提出利用二阶特征模型来构成预测模型.通过工程建模获取了被控对象的特征模型，实现了基于特征模型的新型预测函数控制，并通过与采用一阶预测模型的预测函数控制进行比较.理论分析与实验结果均表明，采用特征模型的预测函数控制具有比一阶预测模型更好的控制效果,该算法在SUPCON-JX300X集散控制系统上实现.

关键词: 特征模型, 温度控制, 预测函数控制

Abstract: The traditional predictive functional control usually uses first-order predictive model, which does not fully express the plant, therefore is not robust. The characteristic model is simpler than dynamics model and can fully express the plant. Aimed at predictive functional control, this paper uses a second order characteristic model for predictive model that is easily achieved by project ion method. Theoretical analysis and experiments show that the new control strategy can provide better results compared with the traditional predictive functional control. The control strategy can be directly applied to the SUPCON-JX300X system.

Key words: predictive functional control, temperature control, characteristic model

中图分类号:

TP 13

吴建国;费敏锐;张培建;盛海明. 基于特征模型的预测函数控制[J]. 上海大学学报(自然科学版).

WU Jian-guo;FEI Min-rui;ZHANG Pei-jian;SHENG Hai-ming. Predictive Functional Control Based on Characteristic Model[J]. Journal of Shanghai University（Natural Science Edition）.