摘要
根据吹膜机温度控制系统的大滞后、非线性等特点,将常规PID控制和模糊控制相结合,设计了一种模糊自整定PID温度控制系统,该系统通过模糊控制规则实现PID控制器的参数的在线调整,以获得PID温度控制的最佳控制效果。建立了Simulink仿真模型,并对吹膜机温度控制系统的简化模型进行了仿真和分析。仿真结果表明:模糊自整定PID控制器有更小的超调量和更快的调节时间,使系统具有更好的控制性能。
According to the large lag, nonlinear characteristics of the temperature control system of an inflation film man- ufacturing machine, a fuzzy self-tuning PID temperature control system was designed by using the combination of convention PID and fuzzy control. The system uses the fuzzy control rule to achieve the online parameter adjustment and the optimal effect of PID temperature control. The simulink simulation model for the control system was estab- lished, and the simulation analysis for the simplified model of the temperature control system was conducted. The results of simulation show that such a fuzzy self-turning PID controller has the advantages of both small overmodula- tion and short response time , which make the system has the better control performance.
出处
《高技术通讯》
北大核心
2017年第2期156-161,共6页
Chinese High Technology Letters
基金
贵州工程应用技术学院高层次人才(院科合字G2013007号
院科合字G2015003号)
贵州省自然科学基金(黔科合J字[2014]2001)
贵州省普通高等学煤化工过程装备与控制创新人才团队(黔教合人才团队字[2014]73)资助项目
关键词
模糊自整定
PID控制器
温度控制
仿真
fuzzy self-tuning, PID controller, temperature control, simulation
