Target Tracer Switching Strategy for Multi-Level PV Inverters Motor Drives Based on MPC

Implementing the Model Predictive Control (MPC) is much more popular due to the capability of controlling the linear and nonlinear loads without linearization as well as no need for a modulator to generate switching signals. The performance of MPC methods is basically related to their cost function to examine all possible voltage vectors generated by inverters to find the optimal one. This requires to consume lots of time which can become more at high-level inverters. In this paper, the proposed Target Tracer MPC (TT-MPC) switching strategy not only can lessen the loss caused by the high number of inverter switching commutation, but also there is no need to examine all voltage vectors to choose the optimal one. By finding and tracing simultaneously the stator voltage vector region, TT -MPC examines only the vectors of that sector and the two adjacent sectors. Therefore, its cost function requires a very short time comparing with other MPCs to find the optimal voltage vector. This advantage of TT-MPC can make it possible to have fast responding and precise control over four quadrants of the motor drive. This issue is way too much vital when it comes to PV inverters.

Keywords:

Model Predictive Control (MPC) , Multi-Level Inverters , Permanent Magnet Synchronous Motors (PMSM) , Photovoltaic.