Air Conditioning System Simulation Automatic Optimization Platform Based on Fuzzy Control Algorithm

Abstract

Air conditioning is a very important part of smart home. With the development of China's national economy and the development of cities, the use of central air conditioning will increase. This paper aims to study the automatic optimization platform of air-conditioning system simulation based on fuzzy control algorithm. The main purpose of this paper is to propose an intelligent management method of residential air-conditioning based on fuzzy control technology. In essence, using cheap, practical, high-performance PIC series microcomputers to create system applications and software design, excessive use in the control field, aiming to overcome the problems of low control efficiency of simple distraction controllers and poor ability to eliminate position errors,. The main task of this paper is to design an air-conditioning system control program application and software design skills based on fuzzy control algorithm, and conduct control experiments. Experiments show that the error between the simulated air volume and the actual calculated air volume of the simulation system in this paper is about 10%, the system control time is fast, and the control time is stable, which is about 10 times faster than the conventional control algorithm.