Fuzzy logic controller and cascade inverter for direct torque control of IM

Rahmani, Rasoul, Langeroudi, Nima M.A., Yousefi, Rozbeh, Mahdian, Milad and Seyedmahmoudian, Mehdi 2014, Fuzzy logic controller and cascade inverter for direct torque control of IM, Neural computing and applications, vol. 25, no. 3-4, pp. 879-888, doi: 10.1007/s00521-014-1561-9.

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Title Fuzzy logic controller and cascade inverter for direct torque control of IM
Author(s) Rahmani, Rasoul
Langeroudi, Nima M.A.
Yousefi, Rozbeh
Mahdian, Milad
Seyedmahmoudian, Mehdi
Journal name Neural computing and applications
Volume number 25
Issue number 3-4
Start page 879
End page 888
Total pages 10
Publisher Springer
Place of publication Berlin, Germany
Publication date 2014-09
ISSN 0941-0643
Keyword(s) Science & Technology
Computer Science, Artificial Intelligence
Computer Science
Five-level cascaded H-bridge inverter
Fuzzy logic controller
Induction motor
Summary In this paper, a five-level cascaded H-bridge multilevel inverters topology is applied on induction motor control known as direct torque control (DTC) strategy. More inverter states can be generated by a five-level inverter which improves voltage selection capability. This paper also introduces two different control methods to select the appropriate output voltage vector for reducing the torque and flux error to zero. The first is based on the conventional DTC scheme using a pair of hysteresis comparators and look up table to select the output voltage vector for controlling the torque and flux. The second is based on a new fuzzy logic controller using Sugeno as the inference method to select the output voltage vector by replacing the hysteresis comparators and lookup table in the conventional DTC, to which the results show more reduction in torque ripple and feasibility of smooth stator current. By using Matlab/Simulink, it is verified that using five-level inverter in DTC drive can reduce the torque ripple in comparison with conventional DTC, and further torque ripple reduction is obtained by applying fuzzy logic controller. The simulation results have also verified that using a fuzzy controller instead of a hysteresis controller has resulted in reduction in the flux ripples significantly as well as reduces the total harmonic distortion of the stator current to below 4 %.
Notes 4/7/16 BR removed School of Education and added School of Engineering.
Language eng
DOI 10.1007/s00521-014-1561-9
Field of Research 090602 Control Systems, Robotics and Automation
090603 Industrial Electronics
090601 Circuits and Systems
0801 Artificial Intelligence And Image Processing
1702 Cognitive Science
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30080847

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