FAST NMPC OF A DC-DC CONVERTER: AN EXACT NEWTON REAL-TIME ITERATION APPROACH

This paper presents a Newton optimization technique applied to the Nonlinear Model Predictive Controller (NMPC) for a DC-DC converter. The nonlinear predictor, used in this NMPC algorithm, is approximated by means of a dynamic model which is cubic in the input. This approximation allows the formulation of an explicit MPC law in terms of the states of the model. The proposed controller is tailored for this specific application, taking into account simplicity in the calculation of the control law. The approach followed makes the control law easy to implement and able to deal with the fast response dynamics presented by electronic drivers. The performance of the proposed controller is evaluated under simulation and compared with the response presented by a linear MPC. Although robustness and tracking test are performed over the whole operating range, stability results for the nonlinear MPC are not addresed.