In this paper

the principle was of the classical PID control

fuzzy PID control with parameter selftuning and genetic PID control comparatively analysed

and the algorithms were simulated by Simulink software

by taking the direct air cooling system of a 300 MW unit as the example.The simulation results showed that the fuzzy PID control algorithm and the genetic PID control algorithm could adjust the control according to the error and error change rate in the running process of the system

set the parameters of PID

so the control effects were better than that of the classical PID control algorithm.Under different conditions

the control effect of the fuzzy PID control algorithm and the genetic PID control algorithm could meet the design requirements

and their robustness was good.