Design and application of self-regulating fuzzy controller based on qualitative and quantitative variables

Qualitative and quantitative variables were presented, which were composed of system errors and error changes. These variables were used as weighting factors in fuzzy algorithm because they expressed the dynamic property of controlled systems. In the different stages of control process, different variables were used as weighting factors in order to obtain the best control result. This type of self-regulating fuzzy algorithm was employed to control the air-condition system. The practiced results show that, compared with the normal fuzzy controller, this kind of self-regulating fuzzy controller has shorter response time and less stable error. At the same time, it has better quality of self-adaptation if the parameters of controlled objects are changed.