Abstract: Aiming at the problems such as slow response, large overshoot quantity, poor anti-jamming ability and hysteresis in the temperature control process of vacuum annealing furnace, this paper puts forward a self-tuning fuzzy PID control strategy and designs a self-tuning fuzzy PID controller to achieve parameter detection of the vacuum annealing process and optimization control of the whole process. This article takes the production equipment and main technical parameters as a starting point, designs an industrial annealing furnace temperature control system which is based on PLC, intelligent instruments and fuzzy PID self-tuning technology. The simulation of the self-tuning fuzzy PID control algorithm is realized by MATLAB and the results are observed, finally the on-optimization of system parameters is realized. The actual operation shows that the system is reliable, the parameters are able to meet the requirements.

Key words:  , Vacuum annealing furnace, programmable logic controller, temperature control, fuzzy PID

摘要： 针对真空退火炉温度控制过程出现的响应速度慢、超调量大、抗干扰能力差及时滞性等问题，提出自整定模糊PID控制策略，设计自整定模糊PID控制器，实现对真空退火过程工艺参数检测与全过程优化控制。从生产设备及主要技术参数为出发点，设计了一套基于PLC、智能仪表以及自整定模糊 PID控制的工业退火炉温度控制系统。采用MATLAB实现对自整定模糊 PID控制算法的仿真并观察效果，最终实现对系统参数的在线优化。实际运行表明，系统稳定可靠、各项参数均满足要求。

关键词: 真空退火炉, 可编程逻辑控制器, 温度控制, 模糊PID