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It bases on the physical property of the controlled system. It is a kind of intelligent control and it simulates the thought way and control experience of human. The overall introduction to this text is heated to this kind of great inertia target of the miniature reactor to the electricity, propose correcting the fuzzy method of controlling by oneself of the model in a kind of improvement parameter. It is of simple structure, realize having fine control performance conveniently: The stable state is high in precision, the response speed and exceeds and adjusts t small quickly, In reality have wider use value. Heat to this kind of great inertia target of the reactor to the electricity. Always meet some indeterminate or fuzzy problems when adopting cybernetics of the classics or the modern cybernetics to design the control system. In order to solve these fuzzy problems, the common characteristic of method that the traditional control theory puts forward must be set up and accused of the target's mathematics model, difficult to set up and meet the mathematics model of the control request to a lot of complicated systems, so has produced the fuzzy control theory. This text want study through fuzzy to control the method produce kind control function very to great inertia target. Carry on research to the structure, fuzzy reasoning system and fuzzy control system reality and artificial method of the basic fuzzy controller in addition, utilize MATLAB fuzzy logic toolbox (MATLAB Fuzzy Logic Toolbox) carry on the design of the fuzzy reasoning system and artificial method in SIMULINK of fuzzy control system. Compare PID and fuzzy control : If adopt bunches of grades of PID control, system appear is it transfer to exceeding heavy, change time to be longer; And adopt the control system after improving, have a quite quick response speed and not exceed adjusting basically systematically. Keyword: Fuzzy Control; MATLAB; The Electric-heating Mini-reactor