Research on direct torque control of switched reluctance motor with improved commutation strategy

Fan, Jiayi; Ahn, Ji-Whan

doi:10.1109/icit.2018.8352229

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…The direct torque control (DTC) is essentially a control by using the flux linkage state for SRM. The various improved DTC methods for SRM by using the optimising voltage vector and the commutating angle are proposed in [20–23], and thus indirectly realise the control for the flux linkage.…”

Section: Introductionmentioning

confidence: 99%

Torque–flux linkage recurrent neural network adaptive inversion control of torque for switched reluctance motor

Dang

Shi

Peng

2020

IET Electric Power Applications

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In order to reduce the torque ripple for switched reluctance motor (SRM), the learning error preprocessing‐based torque–flux linkage recurrent neural network adaptive inversion control (TFRNNAIC) for SRM torque is proposed by the filter preprocessing and the non‐linear mechanism characteristics for SRM. In TFRNNAIC with the advantages of parallel and series–parallel structure, the torque feedback error learning method is employed to update the weights of the torque–flux linkage recurrent neural network. To suppress the ripple effectively in torque error used for the weight learning of the torque–flux linkage recurrent neural network and obtain an accurate TFRNNAIC, namely the torque–flux linkage model for SRM, the low‐pass filter preprocessing for the torque error is used. Moreover, the other low‐pass filter is executed to reduce the ripple in the output for the PD torque control. The superposition of outputs for TFRNNAIC and PD torque control is taken as the reference flux linkage. Compared with other control strategies, such as the classical parallel neural network control, the classical series–parallel neural network control and TFRNNAIC, the simulation results show that the learning error preprocessing‐based TFRNNAIC for SRM torque is capable of effectively reducing the torque ripple for SRM with the good recurrent performance.

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Section: Introductionmentioning

confidence: 99%

Torque–flux linkage recurrent neural network adaptive inversion control of torque for switched reluctance motor

Dang

Shi

Peng

2020

IET Electric Power Applications

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“…There are various approaches reducing the ripples of the SRM torque. The approaches based on phase current profiling, on so-called torque sharing functions (TSF) and on direct instantaneous torque control (DITC) are the most popular ones among them [5][6][7][8][9][10][11][12][13][14]. Their basis is the formation of certain patterns of change in phase currents and torques of the SRM on the interval of their switching.…”

Section: Introductionmentioning

confidence: 99%

“…The main differences between them consist of the method of determining these laws and in their technical implementation. TSF is one of the best-known approaches to determining the laws of variation of the SRM phase currents in the phase switching interval [8][9][10][11]. The main problem in the practical implementation of TSF is the absence of an unambiguous method for determining specific components of the torque and currents of the phases to minimize torque ripples.…”

Section: Introductionmentioning

confidence: 99%

Simulation and analysis of improved direct torque control of switched reluctance machine

Krasovsky

2020

IJEECS

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<span>Direct torque control of electric machines widely used in modern electric drives. Switched reluctance machines (SRM) are different from traditional electric machines, so we cannot apply well-known technical solutions to them. Simulation can provide a powerful approach for investigating the control of switched reluctance machines, and Matlab / Simulink allows it successfully implemented. This paper presents a description of the model and the simulation results of the proposed new algorithms for direct control of the instantaneous torque of SRM in the motor and braking modes. In comparison with the known control algorithms, the proposed algorithm uses one common for all phases relay regulator with a smaller number of switching thresholds and, therefore, it has greater reliability and is easier to set up. </span>

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Torque ripple reduction of four-phase SRM based on DTC method

Han

2018

2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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Research on direct torque control of switched reluctance motor with improved commutation strategy

Cited by 4 publications

References 7 publications

Torque–flux linkage recurrent neural network adaptive inversion control of torque for switched reluctance motor

Torque–flux linkage recurrent neural network adaptive inversion control of torque for switched reluctance motor

Simulation and analysis of improved direct torque control of switched reluctance machine

Torque ripple reduction of four-phase SRM based on DTC method

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