Neural networks used for torque ripple minimization from a switched reluctance motor

D. S. Reay; T. C. Green; B. W. Williams

Neural networks used for torque ripple minimization from a switched reluctance motor

D. S. Reay, T. C. Green, B. W. Williams

School of Engineering & Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Citations (Scopus)

Abstract

The application of neural techniques to the problem of torque ripple minimization in a switched reluctance motor (SRM) is presented. More conventional techniques for torque linearization and decoupling are reviewed, after which the application of a neural network to the problem is described. Results obtained experimentally and by simulation of a 4 kW IGBT converter and 4-phase SRM are used to illustrate the approach. The networks used have been implemented using both digital signal processor (DSP) and field programmable gate array (FPGA) technologies.

Original language	English
Title of host publication	Drives II
Pages	1-6
Number of pages	6
Volume	6
Edition	377
Publication status	Published - 1993
Event	Proceedings of the 5th European Conference on Power Electronics and Applications - Brighton, Engl Duration: 13 Sept 1993 → 16 Sept 1993

Conference

Conference	Proceedings of the 5th European Conference on Power Electronics and Applications
City	Brighton, Engl
Period	13/09/93 → 16/09/93

Cite this

@inproceedings{acece01e9a9547f88f90c7d2d7d29c59,

title = "Neural networks used for torque ripple minimization from a switched reluctance motor",

abstract = "The application of neural techniques to the problem of torque ripple minimization in a switched reluctance motor (SRM) is presented. More conventional techniques for torque linearization and decoupling are reviewed, after which the application of a neural network to the problem is described. Results obtained experimentally and by simulation of a 4 kW IGBT converter and 4-phase SRM are used to illustrate the approach. The networks used have been implemented using both digital signal processor (DSP) and field programmable gate array (FPGA) technologies.",

author = "Reay, {D. S.} and Green, {T. C.} and Williams, {B. W.}",

year = "1993",

language = "English",

isbn = "0852965885",

volume = "6",

pages = "1--6",

booktitle = "Drives II",

edition = "377",

note = "Proceedings of the 5th European Conference on Power Electronics and Applications ; Conference date: 13-09-1993 Through 16-09-1993",

}

TY - GEN

T1 - Neural networks used for torque ripple minimization from a switched reluctance motor

AU - Reay, D. S.

AU - Green, T. C.

AU - Williams, B. W.

PY - 1993

Y1 - 1993

N2 - The application of neural techniques to the problem of torque ripple minimization in a switched reluctance motor (SRM) is presented. More conventional techniques for torque linearization and decoupling are reviewed, after which the application of a neural network to the problem is described. Results obtained experimentally and by simulation of a 4 kW IGBT converter and 4-phase SRM are used to illustrate the approach. The networks used have been implemented using both digital signal processor (DSP) and field programmable gate array (FPGA) technologies.

AB - The application of neural techniques to the problem of torque ripple minimization in a switched reluctance motor (SRM) is presented. More conventional techniques for torque linearization and decoupling are reviewed, after which the application of a neural network to the problem is described. Results obtained experimentally and by simulation of a 4 kW IGBT converter and 4-phase SRM are used to illustrate the approach. The networks used have been implemented using both digital signal processor (DSP) and field programmable gate array (FPGA) technologies.

UR - http://www.scopus.com/inward/record.url?scp=0027832875&partnerID=8YFLogxK

M3 - Conference contribution

SN - 0852965885

VL - 6

SP - 1

EP - 6

BT - Drives II

T2 - Proceedings of the 5th European Conference on Power Electronics and Applications

Y2 - 13 September 1993 through 16 September 1993

ER -

Neural networks used for torque ripple minimization from a switched reluctance motor

Abstract

Conference

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