Improved Modified DTC-SVM Methods for Increasing the Overload-capability of Permanent Magnet Synchronous Motor Servo- and Robot Drives – Part 2

  • Tibor Vajsz Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1521 Budapest, P.O.B. 91, Hungary
  • László Számel Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1521 Budapest, P.O.B. 91, Hungary

Abstract

Direct torque control with space vector modulation (DTC-SVM) is one of the most popular methods in the case of permanent magnet synchronous motor drives due to its excellent torque-control capabilities. This method facilitates a very high torque-control dynamic performance which is an especially important requirement in the field of servo- and robotic applications, thus making DTC-SVM a natural choice in these cases. In this article simplified forms of the Improved Modified DTC-SVM (IMDTC-SVM) method that has been introduced in Part 1 are presented and it is proven that these methods have a very high overload-capability as well, they are stable during overload-conditions, while the torque-control dynamics and the torque-ripple generated are practically identical with those of the classical DTC-SVM, the MDTC-SVM and the standard IMDTC-SVM. Although the simplified forms have a somewhat lower overload-capability than that of the standard IMDTC-SVM, they have a significantly simpler structure, they require much less computation and the tuning of the complete control system is in one case much simpler.

Keywords: permanent magnet synchronous motor, direct torque control, space vector modulation, servo drive, robot drive, frequency converter, electric drive
Published online
2018-05-25
How to Cite
Vajsz, T. and Számel, L. (2018) “Improved Modified DTC-SVM Methods for Increasing the Overload-capability of Permanent Magnet Synchronous Motor Servo- and Robot Drives – Part 2”, Periodica Polytechnica Electrical Engineering and Computer Science, 62(3), pp. 74-81. doi: https://doi.org/10.3311/PPee.11762.
Section
Articles