2013
DOI: 10.1109/tie.2012.2198034
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Variable-Speed Five-Phase Induction Motor Drive Based on Predictive Torque Control

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Cited by 157 publications
(101 citation statements)
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“…1(a). The dynamic behavior of the DTPIM can be modeled using a state-space representation as follows [22]: are the parameter matrices that characterize the dynamics of the electrical drive. The set of state variables described above is defined as …”
Section: The Dptim Mathematical Modelmentioning
confidence: 99%
“…1(a). The dynamic behavior of the DTPIM can be modeled using a state-space representation as follows [22]: are the parameter matrices that characterize the dynamics of the electrical drive. The set of state variables described above is defined as …”
Section: The Dptim Mathematical Modelmentioning
confidence: 99%
“….) are neglected because of the isolated neutral point [16]. The large voltage vectors are compulsorily selected for rapid incrementing of the torque and flux.…”
Section: Three-level Five-phase Dtcmentioning
confidence: 99%
“…In order to reduce the demagnetization effect, when the motor runs at a low speed, the classic DTC algorithm has been modified so that the ±72º displaced voltage vectors are replaced with ±36º displaced voltage vectors [15]. Predictive Torque Control (PTC) has been introduced as an alternative to DTC [16], where torque ripple minimization, x-y component elimination and improvements in the speed response have been achieved. In [17], the space vector modulation DTC (DTC-SVM) was presented for the five-phase induction motor to cancel the low frequency voltage harmonics.…”
Section: Introductionmentioning
confidence: 99%
“…In the past few years, model predictive control (MPC) of converters has received significant attention and experienced sustained development [1]. Various types of model predictive controllers have emerged as effective strategies and promising alternatives for the control of power converters and electrical machines [2][3][4][5][6][7][8][9][10][11][12]. One feasible solution for the application of MPC is known as continuous set model predictive control [13,14].…”
Section: Introductionmentioning
confidence: 99%