Simulation Study on the Performance and Improvement of Generalized Predictive Control Algorithm

The Generalized Predictive Control (GPC) , which based on the thought of "prediction, receding horizon optimization, feedback correction", now has become an important advanced control strategy, and has been widely used in complex industrial process control. Generalized predictive control algorithm can be divided into explicit algorithm and implicit algorithm. Based on the implicit algorithm, the method of the output increase item joined in the objective function of GPC is proposed to suppress the acutely vibration of the output, and in order to weaken the measurement error, interference and saturation and other factors, the weighted input control increment with smoothing filter function is adopted, the improvement algorithm control law is given, and the effect of the improvement algorithm control has been confirmed. Simulation results show that the improved algorithm is better than the GPC in track capacity and control precision, and it also puts a check on the disturbance in some sense.