A Improved Fuzzy Controller for Air-Condition with Frequency Change

The environment of room temperature is complicated and it is difficult to get precise mathematics model for the control of air-condition with frequency change. It is difficult using conventional PED or general fuzzy control way to control air-condition to get good control performance. A new fuzzy controller is designed to control air-condition based on fuzzy reasoning system and genetic algorithm in this paper. Control parameters can be optimized via genetic algorithm quickly in control. In order to improve training speed and overcome the shortcoming of local optimization way, the designed genetic algorithm is improved based on the control system. Simulating experiment shows that the designed controller has better controlling effect than other conventional PH) or fuzzy controller and GAs can optimize fuzzy reasoning parameters effectively.