DocumentCode :
143195
Title :
Predictive DTC algorithm for induction machines using Sliding Horizon Prediction
Author :
Rengifo, Johnny ; Aller, Jose ; Berzoy, Alberto ; Restrepo, Jose
Author_Institution :
Dept. de Conversion y Transporte de Energia, Univ. Simon Bolivar, Caracas, Venezuela
fYear :
2014
fDate :
25-28 Feb. 2014
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a predictive direct torque control PDTC algorithm for induction machine drives including a Sliding Horizon Prediction (SH-PDTC). The selected strategy for the SH-PDTC algorithm was to keep the motor torque and stator flux-linkage within predefined hysteresis bounds while reducing inverter switching losses. The proposed SH-PDTC algorithm shows better performance in torque and stator flux-linkage control in comparison with classical PDTC, without increasing power losses in the inverter. A sensitivity analysis allows to evaluate algorithm performance under parameter uncertainty, and the results show that SH-PDTC keeps torque ripple performance. The paper includes a simulation to verify the PDTC and SH-PDTC algorithms controlling an induction machine, with a standard two level inverter.
Keywords :
asynchronous machines; machine control; predictive control; torque control; variable structure systems; SH-PDTC algorithm; induction machine drives; inverter switching losses reduction; predictive DTC algorithm; predictive direct torque control; sliding horizon prediction; stator flux-linkage; Cost function; Induction machines; Prediction algorithms; Stators; Torque; Vectors; Voltage control; DTC; Induction machine; Predictive control; Sliding horizon prediction; Switching losses;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (LASCAS), 2014 IEEE 5th Latin American Symposium on
Conference_Location :
Santiago
Print_ISBN :
978-1-4799-2506-3
Type :
conf
DOI :
10.1109/LASCAS.2014.6820265
Filename :
6820265
Link To Document :
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