High gain adaptive observer design for sensorless

Authors: Abdelaziz Maouche Mohammed M’Saad Bachir Bensaker Mondher Farza

Publish Date: 2015/07/14

Volume: 13, Issue: 5, Pages: 1106-1117

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Abstract

This paper addresses the problem of accurately estimating the mechanical and magnetic state variables as well as the stator and rotor resistances of induction motors using only the stator current measurements and the supplied stator voltages from an appropriate nonlinear parametrization The involved estimation is carried out by a high gain adaptive observer designed bearing in mind the available fundamental results together with the useful implementation features namely conception simplicity and computational efficiency An exponential convergence of the state and parameter estimation errors is established under admissible assumptions namely the persistent excitation requirement has been particularly reduced thanks to the introduction of unknown parameter characteristic indices The effectiveness of the adaptive observer is highlighted throughout simulation results involving a typical induction motorAbdelaziz Maouche graduated from the University of Badji Mokhtar Annaba Algeria He received his BSc and MSc degrees in Electromechanical Engineering in 2002 and 2005 respectively He is currently with the GREYC UMR 6072 CNRS research laboratory France for the finalization of his PhD at the Department of Electronics University of Badji Mokhtar Annaba His current research interests covers systems observation estimation control techniques and their application in electrical systemsMohammed M’Saad held assistant professor position in September 1978 at the Ecole Mohammadia d’Ingénieurs of Rabat and joined the Laboratoire d’Electronique et d’Etude des Systèmes In November 1982 Mohammed M’SAAD joined the Laboratoire d’Automatique de Grenoble France to work on theory and applications of adaptive control He received his Doctorat dEtatesSciences Physiques from the Institut National Polytechnique de Grenoble in April 1987 and held a research position at the Centre National de Recherche Scientifique in April 1988 In September 1996 Mohammed M’SAAD held a professor position at the Ecole Nationale Supérieure d’Ingénieurs de Caen His main research areas are adaptive and non linear control system identification and observation and advanced control methodologies and applications Since January 2011 he is director of the GREYC UMR CNRSBachir Bensaker was graduated from the University of Science and Technology of Oran USTO Algeria He received his BSc degree in Electronics Engineering in 1979 He received his MS and PhD degrees in Instrumentation and Control from the Universities of Rouen and Le Havre France in 1985 and 1988 respectively Since 1988 he has been with the Department of Electronics University of Annaba Algeria where since 2004 he has been a full Professor Prof Bensaker is IFAC affiliate since 1991 His research interest covers system modelling control identification estimation and fault detection of electrical machinesMondher Farza received his degrees of engineer and MSc in Computer Sciences and Applied Mathematics in 1988 from ENSEEIHT Toulouse France his PhD in Control Sciences from Polytechnic National Institute of Grenoble in 1992 He is a Professor at University of Caen Basse Normandie and is a member of the control team in the laboratory GREYC His research interests are nonlinear control systems and applications

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