New approach of induction machine drive using an adaptive digital PID controller with gain planning based on artificial neural networks

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorBordon, Mario Eduardo
dc.creatorda Silva, Ivan Nunes
dc.creatorde Souza, Andre Nunes
dc.date2014-05-27T11:19:49Z
dc.date2016-10-25T18:16:00Z
dc.date2014-05-27T11:19:49Z
dc.date2016-10-25T18:16:00Z
dc.date1999-12-01
dc.date.accessioned2017-04-06T00:55:23Z
dc.date.available2017-04-06T00:55:23Z
dc.identifierProceedings of the American Control Conference, v. 3, p. 2153-2157.
dc.identifier0743-1619
dc.identifierhttp://hdl.handle.net/11449/65949
dc.identifierhttp://acervodigital.unesp.br/handle/11449/65949
dc.identifier10.1109/ACC.1999.786327
dc.identifier2-s2.0-0033284963
dc.identifierhttp://dx.doi.org/10.1109/ACC.1999.786327
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/887598
dc.descriptionThe present work introduces a new strategy of induction machines speed adjustment using an adaptive PID (Proportional Integral Derivative) digital controller with gain planning based on the artificial neural networks. This digital controller uses an auxiliary variable to determine the ideal induction machine operating conditions and to establish the closed loop gain of the system. The auxiliary variable value can be estimated from the information stored in a general-purpose artificial neural network based on CMAC (Cerebellar Model Articulation Controller).
dc.languageeng
dc.relationProceedings of the American Control Conference
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAdaptive control systems
dc.subjectAsynchronous machinery
dc.subjectClosed loop control systems
dc.subjectDigital control systems
dc.subjectElectric drives
dc.subjectIntelligent control
dc.subjectNeural networks
dc.subjectSpeed control
dc.subjectCerebellar model articulation controller (CMAC)
dc.subjectGain planning
dc.subjectThree term control systems
dc.titleNew approach of induction machine drive using an adaptive digital PID controller with gain planning based on artificial neural networks
dc.typeOtro


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