Model Predictive Torque Ripple Reduction with Weighting Factor Optimization Fed by an Indirect Matrix Converter

Abstract

Abstract—Model predictive control has emerged as a powerful control tool in the field of power converter and drive's system. In this article, a weighting factor optimization for reducing the torque ripple of induction machine fed by an indirect matrix converter is introduced and presented. Therefore, an optimization method is adopted here to calculate the optimum weighting factor corresponding to minimum torque ripple. However, model predictive torque and flux control of the induction machine with conventionally selected weighting factor is being investigated in this article and is compared with the proposed optimum weighting factor based model predictive control algorithm to reduce the torque ripples. The proposed model predictive control scheme utilizes the discrete phenomena of power converter and predicts the future nature of the system variables. For the next sampling period, model predictive method selects the optimized switching state that minimizes a cost function based on optimized weighting factor to actuate the power converter. The introduced weighting factor optimization method in model predictive control algorithm is validated through simulations and shows potential control, tracking of variables with their respective references and consequently reduces the torque ripples corresponding to conventional weighting factor based predictive control method.

Keywords:

• predictive control
• AC-AC power converter
• AC motor drives
• indirect matrix converter
• weighting factor
• switching states
• cost function

Additional information

Notes on contributors

Muslem Uddin

Muslem Uddin received the B.Sc. degree in electrical and electronic engineering from the Chittagong University of Engineering and Technology (CUET), Bangladesh, in 2009. Currently he is continuing M.Sc. degree and working as a research assistant with the ‘Power Electronics and Renewable Energy Research Laboratory (PEARL)’, department of electrical engineering, University of Malaya, Malaysia. He has worked as a research assistant with the department of electrical and electronic engineering, Chittagong University of Engineering and Technology (CUET), Bangladesh, from October’2009 to August’2010. Also, he is working as a Lecturer with the department of electrical and electronic engineering, University of Information Technology and Sciences (UITS), Bangladesh, from September 2010. His research interests includes power converter control and drives, predictive and digital control, direct and indirect matrix converters, high voltage engineering and renewable energy.

Saad Mekhilef

Saad Mekhilef received the B.Eng. degree in Electrical Engineering from the University of Setif, Setif, Algeria, in 1995, and the Master of Engineering Science and Ph.D. degrees from the University of Malaya, Kuala Lumpur, Malaysia, in 1998 and 2003, respectively. He is currently a Professor at the Department of Electrical Engineering, University of Malaya, Kuala Lumpur. He is the author or coauthor of more than 250 publications in international journals and proceedings. He is a Senior Member of the IEEE. He is actively involved in industrial consultancy, for major corporations in the power electronics projects. His research interests include power conversion techniques, control of power converters, renewable energy, and energy efficiency.

Marizan Mubin

Marizan Mubin received her BEng from University of Malaya and MSc from University of Newcastle Upon Tyne, UK in 2000 and 2001, respectively. In 2006, she was awarded a DEng from Tokai University, Japan. She is currently a Senior Lecturer at Department of Electrical Engineering, University of Malaya, Malaysia. Her research interest includes control systems, human-machine interface and computational intelligence.

Marco Rivera

Marco Rivera received his B.Sc. in Electronics Engineering and M.Sc. in Electrical Engineering from the Universidad de Concepcion, Chile, in 2007 and 2008, respectively. He received the PhD degree at the Department of Electronics Engineering, Universidad Tecnica Federico Santa Maria, in Valparaiso, Chile, in 2011 with a scholarship from the Chilean Research Fund CONICYT. During 2011 and 2012 he was working on a Post-Doctoral position and as part-time professor of Digital Signal Processors and Industrial Electronics at Universidad Tecnica Federico Santa Maria and currently, he is a professor at Universidad de Talca, Chile. His research interests include matrix converters, predictive and digital controls for high-power drives, four-leg converters, renewable energies and development of high performance control platforms based on Field-Programmable Gate Arrays.

Jose Rodriguez

Jose Rodriguez received the Engineering degree in electrical engineering from Universidad Técnica Federico Santa María (UTFSM), Valparaíso, Chile, in 1977 and the Dr.-Ing. Degree in electrical engineering from the University of Erlangen, Erlangen, Germany, in 1985. He has been with the Department of Electronics Engineering, Since 1977, where he is currently full Professor and Rector. He has coauthored more than 350 journal and conference papers. He is a Fellow of the IEEE and is a member of the Chilean Academy of Engineering. His main research interests include multilevel inverters, new converter topologies, control of power converters, and adjustable-speed drives.