Temperature Control Algorithm Applied To Constant Temperature And Humidity Enviromental Climate Box

Application of Modern control system is developing to two directions covering fields of daily life and huge complicated system. The quality of the product whether can make to achieve the optimal function of the product should be considered by designer. As the increase of the complexity of the control system, the requirement of its control performance becomes higher and higher, How to use the simplest and the most practical control algorithm to obtain the best performance, and make the system accurate and stable in relatively tough environment, that is a problem what people want to solve.In industrial application, some traditional control theory fails to obtain the better control effect because of the nonlinear, time-delay and etc. of the object of the system. Consequently, with the development of modern control theory, the theory of intelligent control is put forward to resolve some uncertainty control problem.In the process of solving some time-delay and nonlinear complex control systems, the fuzzy control reflects its great superiority as an important branch in the field of intelligent control. But the design of fuzzy controller is always based on designer’s subjective experience in different degree, that will affect the effect of the system. Therefore, it is important to know how to reduce the designer’s subjective factors so as to improve the performance of the controller. With the rapid development of kinds of optimization algorithm, the intelligent controller combined with fuzzy control algorithm and other algorithms which has self-tuning function is of certain practical significance.The research object in this article was based on the temperature control system of one cubic meters of environmental climate box. The article analyzed the system of the working mechanism theoretically, established the Mathematical model and its parameters. Because it was a nonlinear, time-delay system, and there was a big relation in its working process and working environment and the rate of heating and cooling. This article gave the analogy of the effects of PID control, PID improved algorithm and fuzzy self-tuning PID control, and makes use of Simulink tool involved in Matlab to simulate and attain visual simulated outcomes by joining the process of different interferences. On the analysis of the shortages of the traditional control algorithm, the fuzzy control algorithm was used to measure and control the parameters of the climate box. Through the simulation to get that the fuzzy self-tuning PID control algorithm was according to the deviation and the change rate of deviation to adjust PID control parameters automatically, fuzzy self-tuning PID control had not only fast response and strong adaptability of fuzzy control, but also had high accuracy and strong robust of PID self-tuning control., that provided the theory basis for practical control.