DocumentCode :
666769
Title :
Predictive sliding mode controller design of induction motor
Author :
Jezernik, Karel ; Rodic, Miran
Author_Institution :
Fac. of Electr. Eng., Univ. of Maribor, Maribor, Slovenia
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
6620
Lastpage :
6625
Abstract :
Nowadays, vector control and direct torque control (DTC) are popular for high performance drives. Even though these methods give better performance, the vector control needs reference frame transformation and direct torque gives large steady state ripples. To overcome these problems in the above method mentioned, this study presents an advanced vector control method for voltage source inverter (VSI) fed induction motor using sophisticated look-up tables. The proposed predictive sliding mode control method combines features of both indirect vector control and DTC. This approach gives faster torque response like the vector control methods and it also reduces ripples as in DTC method. A predictive sliding mode controller (PSMC) has been developed, designed as finite state automata (FSA), and implemented with field programmable gate array (FPGA). This new logic FPGA to torque and speed controller has been developed and analyzed, and experimentally verified.
Keywords :
control system synthesis; field programmable gate arrays; induction motors; invertors; machine vector control; predictive control; variable structure systems; DTC method; FPGA; FSA; PSMC; VSI fed induction motor; direct torque control; field programmable gate array; finite state automata; look-up table; predictive sliding mode controller design; reference frame transformation; speed controller; steady state ripple; torque response; vector control method; voltage source inverter; Inverters; Rotors; Stator windings; Switches; Torque; Vectors; FPGA; look-up table design; motor drives; predictive control; sliding mode control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6700227
Filename :
6700227
Link To Document :
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