| The ball mill pulverizing system is a MIMO system with strong coupling, long time delay and time changing apparently. With traditional PID control system, the controlling result is not so satisfying. Thus, manual control system has been put into use for a long time. However it is still an urgent problem to be solved that how to realize the automatic control of the steel ball mill pulverizing system, how to raise the level of automation and the efficiency of the system, and how to reduce the workers' labor intensity. This paper gives a thorough research work on the control of the steel ball mill pulverizing system from the angle of the intellectual control.The control of the ball mill pulverizing system in the 200MW unit in PanXian power plant is researched in this paper. Fuzzy control police most has application in the situation that it is difficult to establish object model. It has better stability and robustness. In allusion to the characteristic of ball mill that it is simple lag, serious inertia and nonlinear, and general control methods are hard to gain a good control impact, so a fuzzy control model is held up which is graded according to burthen, temperature of outlet, negative pressure of entry, and the coupling characteristic of the model is analyzed. Finally a fuzzy control system is designed as the model. This theory can remarkable reduce the rule number of the fuzzy control algorithm. It can not only simplify the design for multi-variables system's fuzzy control, but also solve effectively the coupling problem between variables in the system, To raise the method' self-adaptability. And these papers analyze and study the method's application in the I/A Series DCS control system in PanXian power plants. Devised coupling precepts and communicate precepts about graded fuzzy controller in the I/A Series DCS. It can gain favorable control effect by annalyzing control function and improve the economy and security of the pulverizing system. It has a favorable engineering applied foreground and value. |