Aiming at problem that the temperature fluctuation of computer room while a data center is operating in high load is too great to control effectively

a Smith pre-estimation fuzzy proportional-integral-differential（ PID）control strategy is proposed. Based on computer room characteristics of data center to build mathematical model

considering the factors such as large load change and complicated working condition

combining the PID control with the fuzzy control

at the same time

introduce the Smith pre-estimation link

realize on-line tuning of PID parameters and dynamic control of complex working condition process. The simulation model for pre-estimation fuzzy controller is constructed

and simulation and experimentally comparison and analysis are carried out respectively with the conventional PID control and fuzzy PID control. The experimental results show that compared with traditional controls under high load working condition

the overshoot of the pre-estimation fuzzy PID control is reduced by 4. 7 % and 3. 4 %

the temperature fluctuation is reduced by 1. 1 ℃ and 1. 1 ℃

regulation time is accelerated by 21. 0 % and 11. 7 %

respectively.