自整定模糊PID算法在精密温控系统中的运用
投稿时间:2018-11-02  修订日期:2018-11-02  点此下载全文
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作者单位邮编
闵 军* 上海应用技术大学 01418
蒋文萍 上海应用技术大学 
基金项目:上海市科委联盟项目(LM201728)
中文摘要:鉴于目前企业、工厂和一些对温度调节精度要求比较高的场合,常规的PID控制器在温度的调控上精度还是远远不够。相比起常规PID控制,改进后的自整定模糊PID算法加入了模糊控制理论,同时可以实现参数的自适应调节。利用算法分析和MATLAB系统仿真得出调节参数,系统再根据反馈回来的数值进行参数整定,实现自适应调节的同时也进一步提高了系统调控数据的精度,最后输出仿真曲线,仿真试验结果表明在不需要系统精确传递函数的同时,基于自整定模糊PID算法下的温度调节控制精度可以压缩至±0.005℃。
中文关键词:PID控制  模糊控制  MATLAB  系统仿真  自适应  温度调节
 
Application of Self-tuning Fuzzy PID Algorithm in Precision Temperature Control System
Abstract:In view of the current enterprises, factories and some occasions where the temperature adjustment accuracy is relatively high, the accuracy of the conventional PID controller in temperature regulation is still far from enough. Compared with the conventional PID control, the improved self-tuning fuzzy PID algorithm adds fuzzy control theory and can realize adaptive adjustment of parameters. Using the algorithm analysis and MATLAB system simulation to obtain the adjustment parameters, the system then adjusts the parameters according to the feedback value, realizes the adaptive adjustment and further improves the accuracy of the system control data, and finally outputs the simulation curve. The simulation test results show that it is not While the system needs precise transfer function, the temperature adjustment control accuracy based on the self-tuning fuzzy PID algorithm can be compressed to ±0.005 ℃.
keywords:PID control  Fuzzy control  MATLAB  System simulation  Adaptive  Temperature regulation
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