Simulation about multi-model and fuzzy re-corrected GPC

In this paper, a control method is proposed according to the problem of model mismatch caused by the error in model identification and variations in working condition of system. This method uses fuzzy algorithm to re-correct the output increment of GPC base on fuzzy weighted multi-model predictive control. The method ameliorates the control performance and reduces effect by model uncertainty. Changing the system condition of level system in tank to imitate model mismatched, make the Simulation use this algorithm to control the level, get the better control performance and demonstrate the effectiveness of the algorithm.