Expert PID Intelligent Process Control System with Learning Functions
With an industrial process being studied, discussed in the paper are the problems of analyzing and extracting the characteristics from the process and cre- ating its control model, data base and knowledge base. Base on the database for mathematic model of chemical reactor, with base knowledge of expert system is designed expert adaptation PID control system in chemical reactor temperature control. Since certain learning functions have also been introduce, the designed intelligent control system can update its control laws stored in the knowledge base promptly according to the real time effect of industrial control and can achieve optimal control result for the industrial process. In inference engine and knowledge base, the term of object is introduced and knowledge is based on experimental rules. Com- puter simulation results show that the control strategy is effective and practical.
Weimin Yang Qibing Wu
Institute of Automatic Qingdao University of Science and Technology Qingdao, China, 266042
国际会议
青岛
英文
2006-07-21（万方平台首次上网日期，不代表论文的发表时间）