An Improved FCS-MPC Algorithm for an Induction Motor With an Imposed Optimized Weighting Factor

• Published in: IEEE transactions on power electronics Vol. 27; no. 3; pp. 1540 - 1551
• Main Authors: Davari, S. A., Khaburi, D. A., Kennel, R.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-03-2012; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: A.c. Machines; Applied sciences; Cost function; Electric power; Electrical engineering. Electrical power engineering; Electrical machines; Electronic equipment and fabrication. Passive components, printed wiring boards, connectics; Electronics; Exact sciences and technology; Experiments; induction motor; Inverters; Motors; Optimization; Power electronics, power supplies; predictive torque control (PTC); Regulation and control; Simulation; Stators; Torque; Torque control; two-level VSI; Voltage control; Inverter; Magnetooptical effect; induction motor; Low speed; Optimization method; Asynchronous motor; Experimental study; Algorithm; Implementation; Optimization; Voltage source converter; Finite sets; Ac motor; Weighting; Torque control; predictive torque control (PTC); Cost function; Ripple; System simulation; Nominal value; two-level VSI; Electric motor; Comparative study; Predictive control
• ISSN: 0885-8993; 1941-0107
• DOI: 10.1109/TPEL.2011.2162343

In this paper, an improved finite control set-model predictive control (FCS-MPC) with an optimized weighting factor is presented. The main goal of this paper is reducing the torque ripples when the FCS-MPC is implemented by means of the two-level inverter. For this purpose, the weighting factor is calculated via an optimization method. The optimization is based on dividing the control interval into two parts: active time for applying the active voltage vectors and zero time for applying the zero voltage. With this technique, the torque ripple is calculated as a function of weighting factor and it is optimized. The method is validated by simulations and experiments, using two-level inverter, at two speed regions (nominal speed and low speed). The results are compared with conventional FCS-MPC.