Publication detail

Simulink Generated Control Algorithm for Nine-phase PMS Motor

KOZOVSKÝ, M. BLAHA, P.

Original Title

Simulink Generated Control Algorithm for Nine-phase PMS Motor

English Title

Simulink Generated Control Algorithm for Nine-phase PMS Motor

Type

conference paper

Language

en

Original Abstract

This paper deals with the nine-phase motor control algorithm development, mainly with its implementation in target hardware using MATLAB Simulink. This environment allows control algorithm design using model based approach and the subsequent automatic conversion of control algorithms into C code using Simulink Embedded coder which is then used in the inverter software. Field oriented control algorithm has been designed and tuned for this motor. Control algorithm has been tuned according to the measured motor parameters in simulations and then fine tuned on a real motor. The inverter control unit is based on AURIX Tricore microcontroller TC275. The code generation in Simulink has many settings. This paper analyses computational time depending on these settings. Potential problems with floating point math functions are outlined. Automatic code generation proves to be quick and easy tool for replacement of control algorithms or for fast control algorithm adaptation to different hardware.

English abstract

This paper deals with the nine-phase motor control algorithm development, mainly with its implementation in target hardware using MATLAB Simulink. This environment allows control algorithm design using model based approach and the subsequent automatic conversion of control algorithms into C code using Simulink Embedded coder which is then used in the inverter software. Field oriented control algorithm has been designed and tuned for this motor. Control algorithm has been tuned according to the measured motor parameters in simulations and then fine tuned on a real motor. The inverter control unit is based on AURIX Tricore microcontroller TC275. The code generation in Simulink has many settings. This paper analyses computational time depending on these settings. Potential problems with floating point math functions are outlined. Automatic code generation proves to be quick and easy tool for replacement of control algorithms or for fast control algorithm adaptation to different hardware.

Keywords

control algorithms, Simulink, code generation, multi-phase motor, permanent magnet synchronous motor.

Released

24.11.2017

Publisher

IEEE

Location

Penang

ISBN

978-1-5386-3896-5

Book

7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2017)

Pages from

69

Pages to

74

Pages count

6

URL

Full text in the Digital Library

Documents

BibTex


@inproceedings{BUT141818,
  author="Matúš {Kozovský} and Petr {Blaha}",
  title="Simulink Generated Control Algorithm for Nine-phase PMS Motor",
  annote="This paper deals with the nine-phase motor control algorithm development, mainly with its implementation in target hardware using MATLAB Simulink. This environment allows control algorithm design using model based approach and the subsequent automatic conversion of control algorithms into
C code using Simulink Embedded coder which is then used in the inverter software. Field oriented control algorithm has been designed and tuned for this motor. Control algorithm has been tuned according to the measured motor parameters in simulations and then fine tuned on a real motor. The inverter control unit is based on AURIX Tricore microcontroller TC275. The code generation in Simulink has many settings. This paper analyses computational time depending on these settings. Potential problems with floating point math functions are outlined. Automatic code generation proves to be quick and easy tool for replacement of control algorithms or for fast control algorithm
adaptation to different hardware.",
  address="IEEE",
  booktitle="7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2017)",
  chapter="141818",
  doi="10.1109/ICCSCE.2017.8284380",
  howpublished="electronic, physical medium",
  institution="IEEE",
  year="2017",
  month="november",
  pages="69--74",
  publisher="IEEE",
  type="conference paper"
}