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13 - Electrical and Electronic Engineering, Metallurgy and Materials

Newcastle University

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Output 16 of 114 in the submission

Article title

Artificial intelligence-based speed control of DTC induction motor drives: A comparative study

Type

D - Journal article

DOI

10.1016/j.epsr.2008.05.024

Title of journal

Electric Power Systems Research

Article number

Volume number

Issue number

First page of article

210

ISSN of journal

1873-2046

Year of publication

2009

URL

http://dx.doi.org/10.1016/j.epsr.2008.05.024

Number of additional authors

Additional information

There are many industrial applications where precise control of electrical drives is essential. This work, supported by the Egyptian government, presents an assessment of state of the art speed controllers for induction machines, demonstrating that a Fuzzy sliding mode controller gives the best performance in terms of robustness and disturbance rejection capability. This research has been applied to different industrial applications and has been implemented in an industrial electric vehicle (Contact David Hodgson, Sevcon, Email: david.hodgson@sevcon.com).

Interdisciplinary

Cross-referral requested

Research group

D - Power Electronics, Drives and Machines (PEDM)

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract