International Conference on Software Technology and Engineering (ICSTE 2012)
22 Model Predictive Control of Three-Phase Inverter with Modeling Error Compensation
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The optimal control action of the traditional finite control set model predictive control scheme (FCS-MPC) is selected with the supposition that the deigned prediction model of three-phase inverter is consistent with the real system, and the influence of modeling errors is neglected. Then the selected optimal control action is no longer optimal when it is active. In this paper, the three-phase inverter finite control set model predictive control scheme with modeling error compensation (FCS-MPCMEC) is proposed, in which the output of the three-phase inverter prediction model in current instant time is compensated by the modeling error in the last instant time, then the compensation of the modeling error for the prediction model of three-phase inverter is achieved online. The control performance of the three-phase inverter on output voltage tracking control are analyzed by the comparison simulations between the FCS-MPC scheme and the FCS-MPCMEC scheme for three types of modeling error. The results verify that, the FCS-MPCMEC scheme excels the traditional FCS-MPC scheme on the output voltage tracking control of three-phase inverter with modeling error.