基于模糊策略的电阻炉温控系统设计必威体育精装版修改选读.doc

摘 要 电阻炉设备对温度精度的要求高，传统控制方法的延时性、热惯性等特点无法满足PID控制方法结合，以解决传统电阻炉温度控制精度不足问题。 硬件部分主要完成了温度采集模块、外部通信模块、驱动模块、温度显示模块、电源模块等硬件电路设计。运用MATLAB软件的Simulink对电阻炉温度控制系统算法进行了仿真。分别用常规PID控制、常规模糊控制和模糊自整定PID控制对电阻炉温控系统进行仿真实验，仿真结果表明,采用模糊自整定PID的控制系统,系统适应能力更强,控制精度更高,动态性能更好。设计的电阻炉温控系统能够完成了提高温度控制精度的目标，能够达到缩短调节时间，减小系统超调和稳态误差的设计要求。 关键词 模糊控制 单片机 温度控制 电阻炉 Abstract In modern industrial production, the device resistance furnace temperature accuracy requirements increasingly high, while the use of traditional methods to relay resistance furnace temperature control, since the temperature has a time delay, the thermal inertia of these characteristics, temperature control precision can not always solve . This paper is to solve the traditional lack of resistance furnace temperature control accuracy problems, the fuzzy control technology and conventional PID control method, makes up the fuzzy self-tuning PID controllers. Fuzzy self-tuning PID controller based on hardware circuit design, algorithm design, software design, implementation, has a smaller adjustment error, faster speed of adjustment of the new resistance furnace temperature controller. The design of the system analysis of the basic components of resistance furnace temperature control system works and its operating characteristics. It gives a fuzzy self-tuning PID control theory and ST89C51 chip combining control system and method for improving resistance furnace temperature control accuracy. And using MATLAB software Simulink simulation model resistance furnace temperature control system and are using conventional PID control, the conventional fuzzy control and fuzzy self-tuning PID control of the resistance furnace temperature control system simulation experiments. The simulation results show that the fuzzy self-tuning PID control system, the ability to adapt the system stronger, more precise control and better dynamic performance, the design of the resistance furnace temperat