The Study Of Temperature Control System Based On Fuzzy Control

With the development of science and technique, the control theories have been continuously renewing and varying. According to the accurate mathematics model of controlled object, the classic and modern control theories proceed to control system design. According to the accurate mathematics model of controlled object, the classic and modern control theories proceed to control system design. However, the accurate mathematics model of controlled object can hardly be established in the many circumstance. Therefore, the intelligence control theory provided us the most valid method to solve the control problem of complicated system, of which mathematics model can hardly be established.The fuzzy control as a branch of intelligence control field is especially suited for handling the process of the indetermination model. Because the essence of fuzzy control is nonlinear control and adaptive control, fuzzy control could be well done for those complicated, nonlinear systems with the characteristic of the parameter drift and the inaccurate examining signalIn the complicated industry controlled process, the controlled objects usually own the nonlinear, time-change characteristic and exists the category of interferences. So, being used the traditional control method, the static and dynamic output is not very satisfied. This paper adopts a fuzzy rule self-adjust control method to the need of industrial constant temperature control. The results are satisfied. At the same time, the results of MATLAB simulation of industrial constant temperature objects are satisfied. Especially to the time-delay and nonlinear systems it shows a very brilliant performance comparing to the PID controller.