仿人智能控制器的模糊自整定

A SELF TUNING APPROACH OF HSIC BASED ON FUZZY INFERENCE

仿人智能控制器（ Ｈ Ｓ Ｉ Ｃ）是一类实时鲁棒的智能控制器，被成功用于不少工业过程，但在实际应用中，控制器参数的整定仍然依靠专家来进行．考虑到 Ｈ Ｓ Ｉ Ｃ控制器参数与系统闭环响应过程特征参数之间的模糊关系，本文提出了一类基于模糊推理的参数自整定方法并用于温度对象的控制中，表明该方法是有效的．

The human simulation intelligent controller (HSIC) is a type of robust and intelligent real time controller,which has been applied to many industrial processes.However,parameters of this type of controller have to be tuned by experts.Since parameters of HSIC have certain fuzzy relations with those of system′s closed\|loop response process,a self tuning approach based on Fuzzy inference has been proposed and applied to a temperature control process.The effectiveness of the method is proved.