Research On System Identification And Predictive Control Of Mill Pulverized System

This paper made a profound research on a mill pulverized system of a 200MW unit power plant, using generalized predictive control (GPC) theory. The major dynamics of mill pulverizing system include nonlinear behavior, large inertia and time delays, Traditional control strategy can not obtained offer satisfactory result. The predictive control algorithm, which has some advantages in terms of better stability and robustness, is often adopted where it is difficult to build system model. Based on minimized parameter model, is designed the GPC strategy into the mill pulverized system, and a feasible controller is designed. Model predictive control is a multi-step prediction and a receding horizon control strategy, and provides a systematic approach to handle load perturbation, random noise and time-delay. In addition, The identification experiment is designed, and the system model is obtained off-line by least square method and neural network algorithm,...