In  recent  years,   studies  of  hedge  algebra  applications  in  the  field  of  control  have  been  remarkably successful.  Using  soft  calculating  tools  such  as  fuzzy  logic  and  hedge  algebra  in  control  has  some advantages  such as  (1)  they  can control the objects with incomplete information;  (2) if    the controllers are well-designed, they will be enough intelligent to control nonlinear objects.  However, the above controllers also contain some  disadvantages  including  huge complexity of the algorithm,  longer calculating time than PID controller’s;  so  they  can not control  the  objects requiring fast response.  This paper presents the idea and algorithm to design  and  implement the hedge algebra based controller  which has been  improved to reduce the complexity and calculating time of the controller as well as open the way for real applicationIn  recent  years,   studies  of  hedge  algebra  applications  in  the  field  of  control  have  been  remarkably successful.  Using  soft  calculating  tools  such  as  fuzzy  logic  and  hedge  algebra  in  control  has  some advantages  such as  (1)  they  can control the objects with incomplete information;  (2) if    the controllers are well-designed, they will be enough intelligent to control nonlinear objects.  However, the above controllers also contain some  disadvantages  including  huge complexity of the algorithm,  longer calculating time than PID controller’s;  so  they  can not control  the  objects requiring fast response.  This paper presents the idea and algorithm to design  and  implement the hedge algebra based controller  which has been  improved to reduce the complexity and calculating time of the controller as well as open the way for real application.