摘要
目前汽车涂装烘房温度控制基本上都是采用传统的PID控制,其调节时间长、超调较大、波动频繁.针对烘房温度易波动、传统PID控制参数整定复杂且适应性差等问题,为优化控制,采用可变论域模糊PID控制,设计了基于PLC控制的烘房智能温控系统.以西门子S7-300 PLC为下位机,与现场传感器和执行器连接;以触摸屏和工控机为上位机,完成对相关参数的实时监控;利用OPC技术,实现上位机与下位机的数据通信.在MATLAB中进行仿真,结果表明:系统运行稳定,输出响应能够达到预期目标.与传统PID控制相比,可变论域模糊PID控制能有效降低超调量,缩短上升时间和调节时间,系统性能得到了提升.
At present, the temperature control of the automobile painting drying room is mainly based on the traditional PID control, which has a long adjustment time, a large overshoot and frequent fluctuations. In order to solve the problems that the temperature of the drying room is easy to fluctuate, the traditional PID control parameters are complex and the adaptability is poor, the variable universe fuzzy PID control is used to optimize the control, and an intelligent temperature control system based on PLC control is designed. Taking SIEMENS S7-300 PLC as the lower computer, connected with field sensors and actuators, touch screen and industrial co mputer as the host computer, the real-time monitoring of the relevant parameters is completed; at the same time, the data communication between host computer and slave computer is realized by using OPC technology.The simulation results in MATLAB show that the system is stable and the output response can reach the expected goal. Compared with the traditional PID control, the variable universe fuzzy PID control can effectively reduce the overshoot, shorten the rise time and adjusting time, thus the system performance has improved.
出处
《江西理工大学学报》
CAS
2017年第3期68-74,共7页
Journal of Jiangxi University of Science and Technology
基金
国家自然科学基金资助项目(61363011)
江西省研究生创新专项资金资助项目(YC2015-S282)