A motor controller using field oriented control and Hall effect rotor position sensors : simulation and implementation
Morales, David Arbelaez, Findlater, Kyran, & Chandran, Vinod (2014) A motor controller using field oriented control and Hall effect rotor position sensors : simulation and implementation. In Soraghan, John, Marinkovic, Djordje, & de Caterina, Gaetano (Eds.) Proceedings of the EDERC-2014, IEEE, Milano, Italy, pp. 235-239.
A field oriented control (FOC) algorithm is simulated and implemented for use with a permanent magnet synchronous motor (PMSM). Rotor position is sensed using Hall effect switches on the stator because other hardware position sensors attached to the rotor may not be desirable or cost effective for certain applications. This places a limit on the resolution of position sensing – only a few Hall effect switches can be placed. In this simulation, three sensors are used and the position information is obtained at higher resolution by estimating it from the rotor dynamics, as shown in literature previously. This study compares the performance of the method with an incremental encoder using simulations. The FOC algorithm is implemented using Digital Motor Control (DMC) and IQ Texas Instruments libraries from a Simulink toolbox called Embedded Coder, and downloaded into a TI microcontroller (TMS320F28335) known as the Piccolo via Code Composer Studio (CCS).
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|Item Type:||Conference Paper|
|Keywords:||Motor controller, Field Oriented Control, Hall Effect Sensor, Simulink, Permanent Magnet Synchronous Motor|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > BIOMEDICAL ENGINEERING (090300) > Medical Devices (090304)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Circuits and Systems (090601)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2014 IEEE|
|Deposited On:||21 Sep 2014 22:50|
|Last Modified:||04 Nov 2014 19:14|
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