Synergetic and Sliding Mode Controls of a PMSM: A Comparative Study

Permanent magnet Synchronous machines (PMSM) provide high efficiency, compact size, robustness, lightweight, and low noise; these features qualify them as the best suitable machine for medical applications. Without forgetting its simple structure, high thrust, ease of maintenance, and controller feedback, make it possible to take the place of steam catapults in the future. This paper presents the synergetic control approach for PMSM. Synergetic control theory is purely analytical and is based on nonlinear models, provide asymptotic stability. This approach allows to reduce the chattering phenomenon. To verify the performance characteristics of this approach, we compare it with sliding mode. Simulation results are presented to show the effectiveness of the proposed control method.

[1]  Murat Karabacak,et al.  Design, modelling and simulation of a new nonlinear and full adaptive backstepping speed tracking controller for uncertain PMSM , 2012 .

[2]  Patrice Wira,et al.  SLIDING MODE CONTROL FOR A PERMANENT MAGNET SYNCHRONOUS MACHINE FED BY THREE LEVELS INVERTER USING A SINGULAR PERTURBATION DECOUPLING , 2005 .

[3]  David J. Buttler,et al.  Encyclopedia of Data Warehousing and Mining Second Edition , 2008 .

[4]  Ying-Shieh Kung,et al.  FPGA-Based Speed Control IC for PMSM Drive With Adaptive Fuzzy Control , 2007, IEEE Transactions on Power Electronics.

[5]  Bojan Grcar,et al.  Nonlinear control of synchronous servo drive , 1994, IEEE Trans. Control. Syst. Technol..

[6]  Rong-Jong Wai,et al.  Total sliding-mode controller for PM synchronous servo motor drive using recurrent fuzzy neural network , 2001, IEEE Trans. Ind. Electron..

[7]  A. Monti,et al.  Synergetic control for DC-DC boost converter: implementation options , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).

[8]  D. Yousfi,et al.  Robust position and speed estimation algorithm for permanent magnet synchronous drives , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[9]  L. Medjbeur,et al.  Adaptive fuzzy terminal synergetic control , 2011, 2011 International Conference on Communications, Computing and Control Applications (CCCA).

[10]  F. Ponci,et al.  Synergetic synthesis of DC-DC boost converter controllers: theory and experimental analysis , 2002, APEC. Seventeenth Annual IEEE Applied Power Electronics Conference and Exposition (Cat. No.02CH37335).

[11]  A Nasiri,et al.  A Linear Permanent Magnet Generator for Powering Implanted Electronic Devices , 2011, IEEE Transactions on Power Electronics.

[12]  Hacene Mellah,et al.  Dynamic Design and Simulation Analysis of Permanent Magnet Motor in Different Scenario of fed Alimentation , 2012 .

[13]  M. N. Harmas,et al.  Optimal robust adaptive fuzzy synergetic power system stabilizer design , 2012 .

[14]  Yang Song,et al.  Fields and Inductances of the Sectioned Permanent-Magnet Synchronous Linear Machine Used in the EMALS , 2011, IEEE Transactions on Plasma Science.