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.
作者
章朝阳
ZHANG ChaoYang(Dongguan Technician College,Dongguan Guangdong 523000,China)
出处
《自动化与仪器仪表》
2024年第12期33-36,共4页
Automation & Instrumentation
关键词
模糊控制
PID
可编程序控制器
工控机
温度控制
fuzzy control
PID
programmable controller
industrial computer
temperature control
作者简介
章朝阳(1969-),男,江西修水人,大学,高级讲师,主要研究方向为电子技术应用、机电一体化专业教学研究。
