Temperature Control System Based on Fuzzy Control Design

Abstract

In traditional control field, the control system dynamic model is accurate or not affecting the merits of the main control key, the more detailed dynamic information system, the more it can achieve precise control. However, for complex systems, because too many variables are often difficult to accurately describe the dynamic system, so engineers will use a variety of methods to simplify the system dynamics, in order to achieve the purpose of control, but not ideal. Fuzzy control is essentially a nonlinear control, intelligent control of subordinate category. The design, select AT89S51 microcontroller as controller design an intelligent heat faster. The intelligent heater temperature can be maintained within a set temperature range, so that the water temperature to fluctuate within a range set value and set value down to 0.5 degrees Celsius. Temperature sensor detects a temperature every second. Temperature can be displayed to one decimal place. Temperature detected by real-time digital display. Fuzzy Control of a major feature of both systematic theory, there are a lot of practical application background. Development of fuzzy control has been rapid and widespread application. Nearly 20 years, both in theory and fuzzy control technology has made ​​great strides to become a very active field of automatic control but fruitful branch. Typical applications involve many aspects of their production and life, for example, fuzzy washing machines, air conditioners and other aspects.