Simulation Research of Cloud Models Intelligent Algorithm for Temperature Control

Abstract

For implementing excellent control to nonlinear systems with long time-delay, a new intelligent control algorithm of cloud models was proposed. This algorithm presents the uncertainty reasoning of control rules based on cloud model. This model is a new method for transformation between qualitative and quantitative in the knowledge. The intelligent controller uses the theory of the fuzzy control, designing a variant dimension cloud model intelligent controller containing a one-dimension cloud model controller to eliminate steady-state error, which is used for thermal power plant boiler superheated steam temperature. It also shows that the cloud controller is simple and easy, directly perceived through the senses, and has strong robustness, better control performance, and good application.