| With the rapid development of electric power industry in China, large-scale thermal power generating units are widely applied, the requirements of control system have become more and more sophisticated, and it is imperative to complete control tasks unit by using intelligent control. Fuzzy control without reliance on accurate mathematical model of controlled object, and is more suitable for large delay, large inertia, nonlinear variability and timely control system. Fuzzy control was charged with no need to rely on accurate mathematical model of the object, more suitable for large delay, large inertia, nonlinear variability and timely control system. This paper analyzes several examples which introduced integral action in fuzzy control system, and the basic ant colony algorithm has been improved, and the ant colony optimization algorithm and fuzzy control are combined used in the main steam temperature control system. Simulation results show that the control effects and anti-jamming capability is superior to conventional PID control.
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