Research On Adaptive GPC-based PID Controller For Pressure-control Of Dynamic Wave

As one of the most important equipment in smoke disposing system, the entrance pressure of dynamic wave going beyond equipment's endurance has become one of the most serious problems. With the sharp increase in metal demand, the quantity of smoke is increasing rapidly, and the task of the smoke disposing system is much heavier, the holistic structure is huger and more complicated, which leads to routine control system difficult to fit the control demand. So it is very important to research an effective control strategy.In this thesis, the control of one-stage dynamic wave of smoke disposing system in Jiangxi Smelter is the subject to the research, using generalized predictive control (GPC) theory. Because the system includes characteristics such as nonlinear behavior, large inertia, conventional control strategy can not obtained satisfying results. The predictive control algorithm, which keeps on revising parameters of controller, has some advantages in terms of better stability and robustness. Because of above-mentioned strongpoint, we designed the adaptive GPC strategy for smoke disposing system, based on Controlled Auto-Regressive Integrated Moving Average(CARIMA) model.According to the data that collected from the smoke disposing system in Jiangxi Smelter, this thesis established CARIMA model with the method of disperse-united modeling, by least square method and piece wise linear approximation algorithm; After studying arithmetic mechanism, an adaptive GPC-PID controller is designed based on the model. Both simulation and experiments obtained satisfying results, which show the control strategy is feasible.