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The Temperature Of Real-Time Monitoring System Based On The Fuzzy Algorithm

Posted on:2012-03-28Degree:MasterType:Thesis
Country:ChinaCandidate:Z L CaoFull Text:PDF
GTID:2248330371958314Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
The process of the defatted sintering furnace’s temperature belongs to the typical process control system. The dynamic characteristics always follow the big inertia and big delay nonlinear characteristics. Therefore, the traditional control algorithm is difficult to meet the precision requirement for modern enterprise. This paper combined with traditional thermocouple technology, fuzzy control technique and the micro-controller technology to solve this problem. The control system coordinated the B-type thermocouple with the AD1674 to realize multi-point temperature acquisition of the sintering furnace. The actual temperature is received after the data processing by the signal regulate circuit filter interference. The all are controlled by the monolithic STC89C52 chip microprocessors. After the data processing, the measured real-time temperature is sent to the LCD. The methods the Fuzzy algorithm is introduced to compared with the traditional PID under the circumstances of Matlab7.0/Simulink. The results show that the Fuzzy algorithm can get the good robustness and the better the dynamic and static performance. From the continuously compared the actual temperature with target temperature, the way of temperature control is used by the MCU inquiring control table. After adjusting of solid-state by DA conversion, the power of the sintering furnace can be controlled and the real-time temperature can be displayed on LCD.The sintering furnace based on the fuzzy control algorithm is obviously better than traditional PID algorithm from the control systems’actual operation, when the object is complicated or the model parameter is uncertainty. At the same time, the overshoot, rise time and adjustment time dynamic performance indicators can achieve good results, and the control precision can up to±0.1℃. It could be better satisfy the demanding conditions.
Keywords/Search Tags:STC89C52 microcontroller, C51 Keil, Matlab7.0/simulink7.1, Fuzzy algorithm
PDF Full Text Request
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