MIXED INTEGER PREDICTIVE CONTROL OF A BUCK BOOST CONVERTER

This paper presents a new approach to solve the on line optimization problems associated to the solution of mixed integer predictive control (MIPC). The MIPC is obtained using an hybrid Model Predictive Control (MPC) approach and a parametrization of the binary variables. Furthermore, the proposed formulation allows for a systematic controller design which can be also applied to nonlinear hybrid systems. A Buck Boost converter is used as case study to illustrate the difficulties associated to the control problem and the advantages of the proposed controller.