We apply the fuzzy control method to the temperature control system with moisture analyzer because of its uncertainty and variation in the parameters and nonlinear lag. Fuzzy control has fast response speed, short regulation time and strong robustness. But it has a steady-state error mainly because the fuzzy control rules are based on the designers' experience in the operation process and fuzzy information. The non-linearity and time-variation of the controlled process result in imperfectness of the fuzzy control rules and these will affect the result of the control from varying degrees. To make up the imperfectness, we designed the self-adjusting parameter fuzzy controller composed of basic fuzzy controller and self-adjusting parameter models. The task of self-adjusting parameter model is to regulate the quantification factor and scale factor on-line and optimize the basic fuzzy controller in order to largely perfect the response performance of the system. We have successfully controlled the temperature control system with infrared moisture analyzer with controller using this algorithm.