面向工业过程的自校正控制教学实验平台  

Experimental platform for teaching and learning of self-tuning control for industrial process

作　　者：岳恒 花春桐 李健 贾瑶 YUE Heng;HUA Chuntong;LI Jian;JIA Yao(State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819,China)

机构地区：[1]东北大学流程工业综合自动化国家重点实验室,辽宁沈阳110819

出　　处：《实验技术与管理》2023年第3期193-200,共8页Experimental Technology and Management

基　　金：国家自然科学基金项目(61873052);教育部人文社会科学研究(工程科技人才培养研究)重点项目(19JDGC002)。

摘　　要：该文针对自适应控制课程中的主干教学内容(自校正控制),研发了面向工业过程的自校正控制教学实验平台。该平台基于工业环境的空气加热混合过程被控对象和PLC控制系统,研发了平台化的自校正控制教学实验软件,可以通过I/O变量配对灵活选择不同特性的单变量被控对象,灵活引入各种扰动,灵活选择各种算法,并可结合自校正控制教学中的关键知识点开展递推辨识实验、模型已知时的控制器设计实验、模型未知时的自校正控制实验等。An experimental platform of teaching and learning of self-tuning control,which is the main teaching content of adaptive control course,for industrial process is developed.Based on industrial environment including the air heating-mixing process and PLC control system,a platformized experiment software has been developed for teaching and learning of self-tuning control.Single variable controlled objects with different dynamics can be chosen through I/O variable pairing,various disturbances can be introduced,and different algorithms can be chosen,all flexibly.Thus,combined with key knowledge points in self-tuning control teaching,different experiments including recursive identification,control with known model and self-tuning control with unknown model can be carried out.

关 键 词：教学实验平台 自校正控制 自适应控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]