结合模糊理论的可编程序控制器在工厂自动控制中的性能评估  

Performance evaluation of programmable controllers combined with fuzzy theory in factory automatic control

作　　者：章朝阳 ZHANG ChaoYang(Dongguan Technician College,Dongguan Guangdong 523000,China)

机构地区：[1]东莞市技师学院,广东东莞523000

出　　处：《自动化与仪器仪表》2024年第12期33-36,共4页Automation & Instrumentation

摘　　要：由于传统的控制方法难以处理非线性特性和复杂的动态变化,因此,为了提高工业生产中的干燥温度控制精度,研究提出了基于模糊比例积分微分控制及可编程序逻辑控制器的温度控制方法。实验结果显示,模糊比例积分微分控制的响应时间及稳定时间分别为160 s和370 s;其超调量和稳态误差分别为1.2%和1.4%,均低于传统比例积分微分控制。此外,在干燥效果方面,模糊比例积分微分控制的含水量基本未超过14.0%,且传统比例积分微分及模糊比例积分微分控制的各批次平均标准差分别为0.24%和0.17%,可见模糊比例积分微分控制的性能更好。上述结果表明,研究提出的基于模糊比例积分微分及可编程序逻辑控制器的温度控制方法能实现对温度的快速、精准的控制,有效改善了干燥效果。Due to the difficulty of traditional control methods in handling nonlinear characteristics and complex dynamic changes,in order to improve the accuracy of drying temperature control in industrial production,a temperature control method based on fuzzy proportional integral differential control and programmable logic controller is proposed.The experimental results show that the response time and stability time of fuzzy proportional integral differential control are 160 s and 370 s,respectively;Its overshoot and steady-state error are 1.2%and 1.4%,respectively,which are lower than traditional proportional integral differential control.In addition,in terms of drying effect,the moisture content of fuzzy proportional integral differential control basically does not exceed 14.0%,and the average standard deviation of each batch of traditional proportional integral differential and fuzzy proportional integral differential control are 0.24%and 0.17%,respectively,indicating that the performance of fuzzy proportional integral differential control is better.The above results indicate that the temperature control method based on fuzzy proportional integral differential and programmable logic controller proposed in the study can achieve fast and accurate temperature control,effectively improving the drying effect.

关 键 词：模糊控制 PID 可编程序控制器 工控机 温度控制 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]