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基于专家PID和模糊PID的双模态改进型Smith预估器在苛化工段的应用
Application of Dual-model Improved Smith Predictor Based on Expert and Fuzzy PID Controller in Causticizing Process
收稿日期:  
DOI:10.11980/j.issn.0254-508X.2016.03.009
关键词:  苛化温度  专家PID  模糊PID  双模态Smith预估器
Key Words:causticizing temperature  expert PID control  fuzzy PID control  dual-model Smith predictor
基金项目: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。
作者单位
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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摘要:针对碱回收过程中苛化温度滞后时间长、惯性大及非线性的特点,结合专家PID和模糊PID智能算法,设计了专家/模糊双模态改进型Smith预估控制系统。根据温度的偏差选择专家PID或模糊PID控制器,来提高准确性和快速性。最后仿真和实际应用表明,改进型Smith预估控制系统可有效抑制滞后时间长对系统稳定性的影响,控制效果良好。
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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