Title: A Very Simple Strategy for High-Quality Performance of AC Machines Using Model Predictive Control
Autors: Margarita Norambuena, Jose Rodriguez, Zhenbin Zhang, Fengxiang Wang, Cristian Garcia, and Ralph Kennel
Journal: IEEE Transactions on Power Electronics
Year of publication: 2019
The control of electrical machines has been one of the most classical and challenging problems of electrical engineering. Today, two strategies are widely accepted as standard solutions for high-performance ac drives: field oriented control (FOC) and direct torque control (DTC). These strategies were developed more than 30 years ago, at a time where modern microprocessors were not available. However, the tremendous calculation power available today at high speeds and reduced costs makes it possible to develop different control strategies. In this context, this paper presents a new strategy for predictive torque and flux control of ac machines that does not use weighting factors. The method is based on model predictive control and uses one cost function for the torque and a separate cost function for the flux. This strategy is called sequential model predictive control (SMPC). The first stage controls the torque, and the second stage is dedicated to controlling the flux. The resulting strategy solves, in a very simple and logical way, all the problems and difficulties related to the calculation of the weighting factors. Experimental results obtained with an induction machine show the drive’s very good performance.