Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1446
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | - |
dc.creator | Sun, X | - |
dc.creator | Chow, MHL | - |
dc.creator | Leung, FHF | - |
dc.creator | Xu, D | - |
dc.creator | Wang, Y | - |
dc.creator | Lee, YS | - |
dc.date.accessioned | 2014-12-11T08:28:11Z | - |
dc.date.available | 2014-12-11T08:28:11Z | - |
dc.identifier.issn | 0885-8993 | - |
dc.identifier.uri | http://hdl.handle.net/10397/1446 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | en_US |
dc.rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | en_US |
dc.subject | Neural network control | en_US |
dc.subject | UPS inverter | en_US |
dc.title | Analogue implementation of a neural network controller for UPS inverter applications | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 305 | - |
dc.identifier.epage | 313 | - |
dc.identifier.volume | 17 | - |
dc.identifier.issue | 3 | - |
dc.identifier.doi | 10.1109/TPEL.2002.1004238 | - |
dcterms.abstract | An analogue neural-network controller for UPS inverter applications is presented. The proposed neural-network controller is trained off-line using patterns obtained from a simulated controller, which had an idealized load-current-reference. Simulation results show that the proposed neural-network controller can achieve low total harmonic distortion under nonlinear loading condition and good dynamic responses under transient loading condition. To verify the performance of the proposed NN controller, a hardware inverter with an analogue neural network (NN) controller (using mainly operational amplifiers and resistors) is built. Additionally, for comparison purposes, a PI controller with optimized parameters is built. Experimental results confirm the simulation results and show the superior performance of the NN controller especially under rectifier-type loading condition. Implementing the analogue neural-network controller using programmable integrated circuits is also discussed. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on power electronics, May 2002, v. 17, no. 3, p. 305-313 | - |
dcterms.isPartOf | IEEE transactions on power electronics | - |
dcterms.issued | 2002-05 | - |
dc.identifier.isi | WOS:000175822700001 | - |
dc.identifier.scopus | 2-s2.0-0036577901 | - |
dc.identifier.eissn | 1941-0107 | - |
dc.identifier.rosgroupid | r10010 | - |
dc.description.ros | 2001-2002 > Academic research: refereed > Publication in refereed journal | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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UPS inverter applications_02.pdf | 225.54 kB | Adobe PDF | View/Open |
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