Switching losses minimization and performance improvement of PCC and PTC methods of model predictive direct torque control drives with 15-level inverter

Abstract

In power electronics, Predictive Current control (PCC) and Predictive Torque control (PTC) methods are advanced control strategy. To control an induction machine (IM), the Predictive Torque control (PTC) method evaluates the stator flux and electromagnetic torque in the cost function and Predictive Current control (PCC) (Cortés et al., 2008) considers the errors between the current reference and the measured current in the cost function. The switching vector selected for the use in IGBTs minimizes the error between the references and the predicted values. The system constraints can be easily included (Burtscher and Geyer, 2013; Geyer, 2013). The weighting factor is not necessary. The PCC and PTC method with 15-level H-bridge inverter using IM reduce 19% more THD in torque, speed, and stator current compared to the PTC and PCC methods with 2-level voltage source inverter compared to Wang et al. (2015). In this paper, switching losses minimization technique through THD minimization. Switching losses are minimized because the transistors are only switched when it is needed to keep torque and flux within their bounds. The switching pattern of semiconductor switches used to get better performance of multilevel inverter. This scheme decreases the switching loss and also increases the efficiency. In this paper, the PTC and PCC methods with 15-level H-bridge inverter using IM are carried out and gives excellent torque and flux responses, robust, and stable operation achieved compared to the PTC and PCC methods with 2-level voltage source inverter compared to Wang et al. (2015). This novel method attracted the researchers very quickly due to its straightforward algorithm and good performances both in steady and transient states (Wang et al., 2014).