The Research Of Temperature Measure And Control System In The Rubber Extruder

In industrial production process, the temperature is an important process parameters. Control temperature effectively to improve product quality and production efficiency, reduce energy consumption in the industrial production process. Rubber extruder is one of the key equipment in the production line of rubber products. The effect of temperature control directly affects the performance and quality of the extruded products, the level of energy consumption and production efficiency. With the rapid development of automation, electronics and control technology, as well as the expanding market demand for high-performance rubber products, it has become a focus in the development of modern rubber extruder how to improve the level of temperature control in the rubber extruder, has also become a hot research in the temperature measurement and control field.For the problems of temperature measurement and control in the barrel of rubber extruder, the general scheme of the system designed in this article is demonstrated, and each part of system hardware circuit, such as signal input channel, input and output interfaces, information display, alarm circuit and so on, is described in detail. Then elaborate the theory, advantages and disadvantages of the various digital filtering algorithms. By analyzing the effect of two options.determine the use of a composite filter algorithm composed of program filter and moving average filter. Finally, focuses on the control strategy used in the system. Made a detailed comparative analysis of the advantages and disadvantages of the conventional PID algorithm and the fuzzy control algorithm to determine fuzzy-PID control algorithm where the fuzzy control and conventional PID algorithm is combined as a system control strategy, and test performance of all aspects of the conventional PID and fuzzy-PID control algorithm, by experiment.As the experimental analysis demonstrates, the system has a lower temperature rising speed by fuzzy PID control algorithm than using conventional PID control method. However, the former is much better in a variety of aspects. Not only the maximum overshoot and the fluctuation range of the system are respectively down to plus or minus three and two degrees, it also has a smaller state error within0.5degrees and a shorter regulating time. For these reasons, fuzzy PID control algorithm can do a better job when the system temperature comes to change by having a smaller overshoot and stable error when it gets to the target temperature.