尤 斌,彭 晗,胡慕伊,熊智新.基于前馈模糊反馈的苛化温度控制系统设计[J].中国造纸学报,2013,28(3):54-58 本文二维码信息
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基于前馈模糊反馈的苛化温度控制系统设计
Design of Temperature Control System in Causticizing Process Based on Fuzzy Feed-forward Feed-back Control
  
DOI:10.11981/j.issn.1000-6842.2013.03.54
中文关键词:  苛化过程  温度控制  前馈  模糊反馈  Smith预估器
Key Words:caustic process  temperature control  feed-forward  fuzzy feed-back  smith predictor
基金项目:江苏省制浆造纸科学与技术重点实验室开放基金项目(201010)。
作者单位
尤 斌1,2 1.南京林业大学江苏省制浆造纸科学与技术重点实验室,江苏南京,2100372.浙江中控系统工程有限公司,浙江杭州,310053 
彭 晗3 3.南京林业大学化学工程学院,江苏南京,210037 
胡慕伊1,* 1.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 
熊智新1 1.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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中文摘要:
      针对苛化过程的大时滞、大惯性、参数时变等特点,对单回路苛化温度PID控制系统进行改进,设计了一种基于模糊逻辑的前馈反馈温度控制系统。同时分析了前馈反馈系统的局限性,探讨了Smith预估器在其中的应用。结合传统模糊PID反馈控制器,利用前馈控制补偿可测干扰——蒸汽压力对苛化温度的影响。仿真结果表明,与传统单回路控制相比,改进的控制系统具有更好的动态特性和鲁棒性。最后给出了该控制系统的应用实例,验证其具有良好的控制效果。
Abstract:
      Causticizing process is a large inertial, large time-delay, time-varying process with many random disturbances. Aiming at these problems, this paper improved the single-loop PID temperature control system and presentsed the feed-forward feed-back temperature control system based on fuzzy logic. This paper analyed the limit of applying the feed-forward feed-back system and discussed the application of Smith predictor. Combined with traditional fuzzy PID feed-back controller, the fuzzy feed-forward control system was applied to compensated the impact of vapor pressure on causticizing temperature. Simulation result showed that improved control system was much better than the traditional single-loop PID control system in dynamic performance and robustness. At last the paper also verified its excellent control effect by practical applications.
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