https://sam.ensam.eu:443 The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. Fri, 10 Apr 2026 11:43:09 GMT 2026-04-10T11:43:09Z http://hdl.handle.net/10985/6759 Impact of Permanent Magnet Field on Inductance Variation of a PMLSM REMY, Ghislain; TOUNZI, Abdelmounaïm; BARRE, Pierre-Jean; HAUTIER, Jean-Paul; GOMAND, Julien Analytical models of Surface Mounted Permanent Magnet Linear Synchronous Motors are generally presented with constant inductances. However, the impact of powerful rare-earth PMs in the saturation phenomena cannot be neglected anymore. In this paper, a new non-linear model of PMLSM inductances is suggested. This model is defined as a function of the current value as well as of the magnet position. So, an analytical study, a finite-element analysis and experimental results are presented and confronted. Mon, 01 Jan 2007 00:00:00 GMT http://hdl.handle.net/10985/6759 2007-01-01T00:00:00Z REMY, Ghislain TOUNZI, Abdelmounaïm BARRE, Pierre-Jean HAUTIER, Jean-Paul GOMAND, Julien Analytical models of Surface Mounted Permanent Magnet Linear Synchronous Motors are generally presented with constant inductances. However, the impact of powerful rare-earth PMs in the saturation phenomena cannot be neglected anymore. In this paper, a new non-linear model of PMLSM inductances is suggested. This model is defined as a function of the current value as well as of the magnet position. So, an analytical study, a finite-element analysis and experimental results are presented and confronted. http://hdl.handle.net/10985/26842 Methods for Determining the Magnetic State of Permanent Magnets on Rotors, in a Perspective of End of Life of Electric Machines SAGNA, Alphousseyni; MANSOUR, G.; PERRY, Nicolas; CLENET, Stephane; TOUNZI, Abdelmounaïm Faced with the rising number of electric vehicles, the recycling of permanent magnet (PM) rotors of electrical machines is a pivotal concern since PM, for this, application are generally made with Critical Raw Materials, i.e. rare earth materials. Therefore, the development of effective End of Life strategies for PM is essential to mitigate the environmental impact associated with their production and meet the rising demand sustainably. This paper presents a method to reconstruct the magnetization state of the PM on site within the rotor based on external field measurements. This information will be really useful to evaluate the PM state of health in order to evaluate the possibility of reuse of the rotor or to recycle the PM. The process of reconstruction is based on an inverse method and it has been fully simulated using A Finite Element (FE) model for the rotor. It is shown on different rotor topologies (surface PM mounted rotor, PM buried rotor…) that it is possible to determine the magnetization state of the PM. associer à la bibliothèque du Network : EcoSD Fri, 31 Jan 2025 00:00:00 GMT http://hdl.handle.net/10985/26842 2025-01-31T00:00:00Z SAGNA, Alphousseyni MANSOUR, G. PERRY, Nicolas CLENET, Stephane TOUNZI, Abdelmounaïm Faced with the rising number of electric vehicles, the recycling of permanent magnet (PM) rotors of electrical machines is a pivotal concern since PM, for this, application are generally made with Critical Raw Materials, i.e. rare earth materials. Therefore, the development of effective End of Life strategies for PM is essential to mitigate the environmental impact associated with their production and meet the rising demand sustainably. This paper presents a method to reconstruct the magnetization state of the PM on site within the rotor based on external field measurements. This information will be really useful to evaluate the PM state of health in order to evaluate the possibility of reuse of the rotor or to recycle the PM. The process of reconstruction is based on an inverse method and it has been fully simulated using A Finite Element (FE) model for the rotor. It is shown on different rotor topologies (surface PM mounted rotor, PM buried rotor…) that it is possible to determine the magnetization state of the PM. http://hdl.handle.net/10985/24707 Detection of incipient faults in nine-phase machines: Impact of the star winding configuration EL-HAJJ, Anthony; SEMAIL, Eric; TOUNZI, Abdelmounaïm; VIZIREANU, Darius; CHEAYTANI, Jalal Two approaches are commonly used for modelling and control of nine-phase (triple star) fault-tolerant machines with symmetrical and asymmetrical star winding configurations: The Vector Space Decomposition (VSD) and the decentralized d-q modelling. In this paper, it will be shown how the VSD approach used for machines with an Asymmetrical Star Winding Configuration (ASWC), unlike the decentralized d-q one used for machines with a Symmetrical Star Winding Configuration (SSWC), can be helpful for non-intrusive Fault Detection and Diagnosis (FDD) purposes. Supporting MATLAB/Simulink simulations are discussed. Sat, 01 Jul 2023 00:00:00 GMT http://hdl.handle.net/10985/24707 2023-07-01T00:00:00Z EL-HAJJ, Anthony SEMAIL, Eric TOUNZI, Abdelmounaïm VIZIREANU, Darius CHEAYTANI, Jalal Two approaches are commonly used for modelling and control of nine-phase (triple star) fault-tolerant machines with symmetrical and asymmetrical star winding configurations: The Vector Space Decomposition (VSD) and the decentralized d-q modelling. In this paper, it will be shown how the VSD approach used for machines with an Asymmetrical Star Winding Configuration (ASWC), unlike the decentralized d-q one used for machines with a Symmetrical Star Winding Configuration (SSWC), can be helpful for non-intrusive Fault Detection and Diagnosis (FDD) purposes. Supporting MATLAB/Simulink simulations are discussed. http://hdl.handle.net/10985/7255 Stochastic post-processing calculation of iron losses – application to a PMSM FRATILA, Mircea; RAMAROTAFIKA, Rindra; BENABOU, Abdelkader; TOUNZI, Abdelmounaïm; CLENET, Stephane To take account of the uncertainties introduced on the magnetic properties during the manufacturing process, the present work aims to focus on the stochastic modelling of iron losses in electrical machine stators. The investigated samples are composed of 28 slinky stators, coming from the same production chain. The stochastic modelling approach is first described. Thereafter, the Monte-Carlo sampling method is used to calculate, in post-processing, the iron loss density in a PMSM that is modelled by the finite element method. The interest of such an approach is emphasized by calculating the main statistical characteristics associated to the losses variability, which are Gaussian distributed for A and O formulations. The originality of the approach is due to the fact that the global influence of the manufacturing process (cutting, assembly, …) on magnetic properties of the considered samples is taken into account in the way of computing the iron losses. Tue, 01 Jan 2013 00:00:00 GMT http://hdl.handle.net/10985/7255 2013-01-01T00:00:00Z FRATILA, Mircea RAMAROTAFIKA, Rindra BENABOU, Abdelkader TOUNZI, Abdelmounaïm CLENET, Stephane To take account of the uncertainties introduced on the magnetic properties during the manufacturing process, the present work aims to focus on the stochastic modelling of iron losses in electrical machine stators. The investigated samples are composed of 28 slinky stators, coming from the same production chain. The stochastic modelling approach is first described. Thereafter, the Monte-Carlo sampling method is used to calculate, in post-processing, the iron loss density in a PMSM that is modelled by the finite element method. The interest of such an approach is emphasized by calculating the main statistical characteristics associated to the losses variability, which are Gaussian distributed for A and O formulations. The originality of the approach is due to the fact that the global influence of the manufacturing process (cutting, assembly, …) on magnetic properties of the considered samples is taken into account in the way of computing the iron losses.