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Neural network dynamic surface position control of n‐joint robot driven by PMSM with unknown load ob...

Neural network dynamic surface position control of n‐joint robot driven by PMSM with unknown load ob...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3092307422

Neural network dynamic surface position control of n‐joint robot driven by PMSM with unknown load observer

About this item

Full title

Neural network dynamic surface position control of n‐joint robot driven by PMSM with unknown load observer

Publisher

Stevenage: John Wiley & Sons, Inc

Journal title

IET Control Theory and Applications, 2022-08, Vol.16 (12), p.1208-1226

Language

English

Formats

Publication information

Publisher

Stevenage: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

To solve the problems of low accuracy and poor stability due to modeling error, external disturbance and unknown load, which exist in the position servo control of permanent magnet synchronous motor (PMSM) driven joint robot, this article is to propose the radial basis function (RBF) neural networks dynamic surface control strategy with the Sage‐Hu...

Alternative Titles

Full title

Neural network dynamic surface position control of n‐joint robot driven by PMSM with unknown load observer

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3092307422

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3092307422

Other Identifiers

ISSN

1751-8644

E-ISSN

1751-8652

DOI

10.1049/cth2.12297

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