The Iterative Learning Control System for 600MW Unit Milling System

The ball mill pulverizing system with multi-variable, strong coupLing, large inertia and time-varying etc characteristics, long-term since difficult to input automatic control, therefore become electric power industry automatic control research hot spot problems. This paper studied and analyzed in detail the working principle of the ball mill pulverizing system and work characteristics, using multiple model objects description its dynamic characteristics, based on iterative learning control, controller design and simulation for the ball mill system. The results show that the ball mill system variabiLity, coupLing and delayed nature can be well solved by the iterative learning control, achieved good control effect.