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Torque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation

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L. Henriques, L. Rolim, W. Suemitsu, P. J. Costa Branco, J. A. Dente

Robotics · Submitted 30 Sep 2000

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim This paper presents a new method for shaping the motor currents to minimize the torque ripple, using a neuro-fuzzy compensator.

how it is stated · asserted 1.00 read the record →

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arXiv IDcs/0010003 (version 1)
Pith IDLVKGW6H5, Pith's permanent record of this paper and its review
CitationJ. A. Dente, L. Henriques, L. Rolim, P. J. Costa Branco, W. Suemitsu. "Torque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation." arXiv:cs/0010003 (2000). https://pith.science/paper/LVKGW6H5
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,211 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.07 · states limitation 0.12 · human participants 0.02 · controlled comparison 0.11 · randomized assignment 0.01 · states quantitative result 0.04 · compares with prior results 0.10 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Simple power electronic drive circuit and fault tolerance of converter are specific advantages of SRM drives, but excessive torque ripple has limited its use to special applications. It is well known that controlling the current shape adequately can minimize the torque ripple. This paper presents a new method for shaping the motor currents to minimize the torque ripple, using a neuro-fuzzy compensator. In the proposed method, a compensating signal is added to the output of a PI controller, in a current-regulated speed control loop. Numerical results are presented in this paper, with an analysis of the effects of changing the form of the membership function of the neuro-fuzzy compensator.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Simple power electronic drive circuit and fault tolerance of converter are specific advantages of SRM drives, but excessive torque ripple has limited its use to special applications. background 0.99 0.06 0.03 asserted 1.00
s1 It is well known that controlling the current shape adequately can minimize the torque ripple. background 1.00 0.05 0.05 asserted 0.99
s2 This paper presents a new method for shaping the motor currents to minimize the torque ripple, using a neuro-fuzzy compensator. contribution 0.99 0.91 0.39 asserted 1.00
s3 In the proposed method, a compensating signal is added to the output of a PI controller, in a current-regulated speed control loop. method 1.00 0.82 0.06 asserted 1.00
s4 Numerical results are presented in this paper, with an analysis of the effects of changing the form of the membership function of the neuro-fuzzy compensator. contribution 0.43 0.94 0.08 asserted 0.97

What kind of paper the classifier reports this is: method or tool 0.99 · evidence from simulation or computation 1.00.

What was examined, and what was not

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  • C citations
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Simple power electronic drive circuit and fault tolerance of converter are specific advantages of SRM drives, but excessive torque ripple has limited its use to special applications. It is well known that controlling the current shape adequately can minimize the torque ripple. This paper presents a new method for shaping the motor currents to minimize the torque ripple, using a neuro-fuzzy compensator. In the proposed method, a compensating signal is added to the output of a PI controller, in a current-regulated speed control loop. Numerical results are presented in this paper, with an analysis of the effects of changing the form of the membership function of the neuro-fuzzy compensator.

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