TY - JOUR
T1 - Torque ripple minimization of PMSM using an adaptive Elman neural network-controlled feedback linearization-based direct torque control strategy
AU - Sitharthan, R.
AU - Krishnamoorthy, Sujatha
AU - Sanjeevikumar, Padmanaban
AU - Holm-Nielsen, Jens Bo
AU - Raja Singh, R.
AU - Rajesh, M.
N1 - Funding Information:
This research received funding from the Science and Engineering Research Board, Department of Science & Technology, Government of India (ECR/2017/000259).
Publisher Copyright:
© 2020 John Wiley & Sons Ltd
PY - 2021/1
Y1 - 2021/1
N2 - Torque ripple and harmonics in permanent magnet synchronous motor (PMSM) cause negative impacts on its speed control and overall efficiency. In this article, an Elman neural network (ENN)-controlled feedback linearization-based direct torque control strategy has been proposed to mitigate torque ripples and undesirable harmonics of PMSM. In this approach, the stator flux, stator flux position, and developed torque are used to generate a switching pulse to the impedance source inverter employing ENN controller. By changing the switching pattern of the impedance source inverter through modifying the pulse width modulation using the proposed control strategy. It is possible to control the armature current of the PMSM at various orders and corresponding time harmonics under different operating conditions. The outstanding aspect of the proposed control strategy is that it boosts the inverter operation and reduces the requirement of the DC-DC converter in boosting. For evaluating the performance of the developed control strategy, an extensive simulation study has been conducted in the MATLAB/Simulink environment, and experimental analysis is carried out using the Xilinx-FPGA kit.
AB - Torque ripple and harmonics in permanent magnet synchronous motor (PMSM) cause negative impacts on its speed control and overall efficiency. In this article, an Elman neural network (ENN)-controlled feedback linearization-based direct torque control strategy has been proposed to mitigate torque ripples and undesirable harmonics of PMSM. In this approach, the stator flux, stator flux position, and developed torque are used to generate a switching pulse to the impedance source inverter employing ENN controller. By changing the switching pattern of the impedance source inverter through modifying the pulse width modulation using the proposed control strategy. It is possible to control the armature current of the PMSM at various orders and corresponding time harmonics under different operating conditions. The outstanding aspect of the proposed control strategy is that it boosts the inverter operation and reduces the requirement of the DC-DC converter in boosting. For evaluating the performance of the developed control strategy, an extensive simulation study has been conducted in the MATLAB/Simulink environment, and experimental analysis is carried out using the Xilinx-FPGA kit.
KW - artificial neural network
KW - direct torque control
KW - feedback linearization
KW - FPGA
KW - impedance source inverter
KW - permanent magnet synchronous motor
UR - http://www.scopus.com/inward/record.url?scp=85094637753&partnerID=8YFLogxK
U2 - 10.1002/2050-7038.12685
DO - 10.1002/2050-7038.12685
M3 - Journal article
AN - SCOPUS:85094637753
SN - 1430-144X
VL - 31
JO - International Transactions on Electrical Energy Systems
JF - International Transactions on Electrical Energy Systems
IS - 1
M1 - e12685
ER -