DocumentCode
3489708
Title
Implementation of direct torque control of induction machine utilising TMS320C31 digital signal processor
Author
Yatim, Abdul Halim Mohd ; Idris, Nik Rumzi Nik
Author_Institution
Fakulti Kejuruteraan Elektrik, UTM, Skudai, Malaysia
Volume
2
fYear
2001
fDate
2001
Firstpage
627
Abstract
Digital signal processors (DSPs) are becoming more popular in the area of AC motor control, in particular the induction motor drives. The fast number crunching capabilities of DSPs which are traditionally meant for data processing tasks such as image processing and speech recognition, are being utilised to perform on-line calculation of the AC motor variables, such as electromagnetic torque, fluxes, mechanical speed, etc. This paper presents the implementation of a high performance induction motor control technique known as direct torque control (DTC) utilising the TMS320C31 DSP from Texas Instrument. To minimise the sampling period of the implemented drive system, a Xilinx FPGA (XC4005E) is used to perform some of the main tasks of DTC drives. Experimental results of this high performance drive system on a ¼ hp standard induction motor are as expected and agree with the theoretical work
Keywords
digital signal processing chips; field programmable gate arrays; induction motor drives; power engineering computing; torque control; AC motor control; AC motor variables; DSP; DTC; TMS320C31 DSP; TMS320C31 digital signal processor; Texas Instrument; XC4005E; Xilinx FPGA; direct torque control; electromagnetic torque; fast number crunching; fluxes; induction machine; induction motor control; induction motor drives; mechanical speed; sampling period; AC motors; Data processing; Digital signal processing; Digital signal processors; Electric variables control; Induction machines; Induction motor drives; Induction motors; Mechanical variables control; Torque control;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and its Applications, Sixth International, Symposium on. 2001
Conference_Location
Kuala Lumpur
Print_ISBN
0-7803-6703-0
Type
conf
DOI
10.1109/ISSPA.2001.950223
Filename
950223
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