摘要
本文提出一种基于模式识别的自整定控制方法,以模式表示和模式分类来描述系统的动态特性和调节器的结构,用模式识别优化方法求取调节器的参数,当系统动态模型参数未知时,这种自整定方法是建立在系统测量数据序列基础上的。该方法在实验性二元精馏塔上用IBM-PC微机获得成功应用。其结果优于常规PID调节器。
The self-tuning control based on pattern recognition is developed.The system dynamics and controller structures are described by the pattern class and pattern classification.The controller parameters are obtained by a pattern recognition based optimization.The self-tuning control method is based on the system measurement data sequences when the system dynamic model parameters are unknown.The effectiveness of the techniques proposed is demonstrated by their successful application to a pilot binary distillation column in a IBM-PC microprocessor.Compared with conventional PID regulator,it has obvious advantages.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1992年第3期262-267,共6页
Control Theory & Applications
基金
国家教委博士点基金
关键词
自整定控制
模式识别
self-tuning control
pattern recognition
distillation process
