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Application of Dual-model Improved Smith Predictor Based on Expert and Fuzzy PID Controller in Causticizing Process
  
DOI:10.11980/j.issn.0254-508X.2016.03.009
Key Words:causticizing temperature  expert PID control  fuzzy PID control  dual-model Smith predictor
Fund Project:江苏省制浆造纸科学与技术重点实验室江苏高校优势学科建设工程资助项目。
Author NameAffiliation
张爱娟 南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京210037 
胡慕伊* 南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京210037 
黄亚南 南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京210037 
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Abstract:Considering the large time-delay, high-inertia and time-varying characteristics of causticizing temperature, this paper designed an improved dual-model Smith predictive control system, combined with expert and fuzzy control algorithm. According to causticizing temperature deviations, expert PID controller or fuzzy PID controller could be used to improve accuracy and rapidity of control system. The simulation and the practical application results showed that improved Smith predictive control system could effectively suppress the influence of large time delay on stability of the system. The control system had good quality.
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