Application Research of PID-GPC Algorithm in the Ball Mill System

Abstract

Direct-fired pulverizing system with double inlets and outlets, as an important power generating equipment in the thermal power plant, is characterized by nonlinear, multivariable, strong coupling and large delay. Meanwhile, ball mill is a typical three-input and three-output system, and to model this system and accomplish its automatic control has become a hot spot in today's research on thermal power generation. This paper takes into account PID control, the most widely used basic control law in industrial process control, and based on the generalized predictive control algorithm, ap- plies the Proportional Integral Differential Structured Generalized Predictive Control Algorithm (PID-GPC) to the ball mill. This algorithm incorporates the advantages of the robustness and predictive control model of the traditional PID con- trol algorithm. The simulation of a 300MW large power unit ball mill pulverizing system running under the negative pres- sure, in a power plant in Longshan, Hebei Province, shows that such algorithm has better robustness than general feed- forward decoupling PID control and GPC control, and it's more suitable to be applied in the industry.