摘要
本文讨论了一种新的基于特征状态的智能预估器。通过对典型化工大纯滞后对象的特性分析,提出了一种从对象控制作用和响应曲线中提取信息,构成特征状态,由此来驱动模糊规则的智能预估策略。它避开了传统的建模预估方式,更适于工程实际,其有效性通过实验得到了证实。
A novel intelligent predictor based on characteristic state is presented inthis paper. Through analysing the typical chemical process with large dead-time in details,a predictive strategy has been developed which extracts the process characteristic informationfrom its runing curve, use them to excite the fuzzy predictive rules, then get predictive value. The method avoids traditional model-based predictive manner. So it is more practical toengineering application. Experimental results show its effect.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
1996年第6期588-593,共6页
Chinese Journal of Scientific Instrument
关键词
模糊规则
预估控制
智能预估器
Dead-time,Characteristic State,Fuzzy rules,Predictive control