A novel fuzzy controller applicable to steaming room

This paper describes a new method of uncertainty description in fuzzy controller by introducing the concept of primary and corrector rule bases in fuzzy controllers and their roll in easing of extracting the optimum control surface by using too lesser rules than traditional fuzzy systems. The power of proposed method to simplify description of complicated systems shown by applying this method to control a steaming room system to reduce input valve amortization and setting the temperature of the autoclave room at defined points which guide us to reach better product quality of artificial stones and prevent misusing energy. Simulations confirm the lesser number of valve switching and better energy saving by applying proposed controller to the under control process compare to traditional counterparts and smoother rout compare to PID controllers.