The air-conditioning mathematical model of temperature control in the testing room of an air enthalpy-difference testing-platform is presented

which can be described by a first-order-plus-dead-time model.The parameters of air-conditioning processes vary due to the changes in the operation conditions

which can lead to degradation of performance and instability of the control loop while using conventional PI controllers .A fuzzy PI adaptive controller with intelligence is proposed and applied to the air-conditioning system.In the control scheme

fuzzy control and PI control are combined together organically.The increment of the PI controller parameters can be adjusted online by fuzzy rules according to practical control experiences.To evaluate the control performance of the controller in the air-conditioning system

it is compared with a conventional well-tuned PI controller.Simulations results indicate that the proposed control method has better performance than the latter.