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Adaptive control of permanent magnet synchronous machines with disturbance estimation

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Abstract

In this paper, an adaptive control scheme is introduced for permanent magnet synchronous machines (PMSMs) as an alternative to classical control techniques. The adaptive control strategy capitalizes on the machine’s inverse dynamics to achieve accurate tracking by using an observer to approximate disturbance in the form of friction and load torque. The controller’s output is then fed to a space vector pulse width modulation (SVPWM) algorithm to produce duty cycles for the inverter. The control scheme is validated through a set of simulations on an experimentally validated PMSM model. Results for different situations highlight its high speed tracking accuracy and high performance in compensating for friction and load disturbances of various magnitudes.

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Authors and Affiliations

  1. Industrial Electronics Research Group, School of Engineering, Université du Québec à Trois-Rivières, Trois-Rivières, Quebec, Canada

    Hicham Chaoui & Pierre Sicard

Authors
  1. Hicham Chaoui
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  2. Pierre Sicard
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Correspondence to Hicham Chaoui.

Additional information

Hicham CHAOUI is an advanced technology specialist, at the R&D Department of Imalog Inc., Montreal, QC, Canada, and an adjunct professor at the Université du Québec à Trois-Riviéres (UQTR), QC, Canada, since 2012. He received the B.S. degree in Electrical Engineering from the Institut supérieur du Génie Appliqué (IGA), Casablanca, Morocco, in 1999, the M.A.S. degree in Electrical Engineering from the UQTR, in 2002, the M.S. degree in Computer Science (with honors) and the Project Management Institute accredited graduate degree ‘Diplôme d’études Supérieures Spécialisées’ in project management from the Université du Québec en Outaouais (UQO), Gatineau, QC, Canada, in 2004 and 2007, respectively. He also received the Ph.D. degree in Electrical Engineering (with honors) from the UQTR and the best thesis award for his Ph.D. dissertation in 2011.

Since 1999, he has been a member of the Industrial Electronics Research Group at the UQTR, where he has been involved in the development of soft-computing based controllers and observers for several applications. From 2007 to 2009, he held a project leader position at Envitech Energy Inc., Pointe-Claire, QC, Canada, where he led many R&D projects in the field of renewable energies. In 2009, he joined the École Polytechnique de Montréal, QC, Canada, where he worked as a scientific adjunct. In 2011, he joined the energy division of Hewitt Equipment Ltd., Pointe-Claire, QC, Canada, as an electrical engineer. His research interests include adaptive and nonlinear control theory, intelligent control, robotics, friction compensation, electric motor drives, power electronics, real-time embedded systems, and FPGA implementation. He regularly serves as a reviewer for many prestigious conferences and journals such as, IEEE/ASME Transactions on Mechatronics.

Dr. Chaoui is a member of IEEE and a registered professional engineer in the province of Québec.

Pierre SICARD is a professor in Electrical and Computer Engineering at Université du Québec à Trois-Rivières (UQTR), Trois-Rivières QC, Canada, since 1992. He received his M.S. degree in Industrial Electronics from UQTR in 1990, and the Ph.D. degree in Electrical Engineering from Rensselaer Polytechnic Institute, Troy NY, in 1993. He held the Hydro-Québec Research Chair on Power and Electrical Energy (1999–2003) and he was Director of the Research Group on Industrial Electronics (2004–2011). His research interests include controller and observer design for nonlinear systems, control of power electronics and multidrive systems, passivity-based control, adaptive control, and neural networks.

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Chaoui, H., Sicard, P. Adaptive control of permanent magnet synchronous machines with disturbance estimation. J. Control Theory Appl. 10, 337–343 (2012). https://doi.org/10.1007/s11768-012-0308-3

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  • DOI: https://doi.org/10.1007/s11768-012-0308-3

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