J
J. Azzouzi
Researcher at University of Le Havre
Publications - 9
Citations - 252
J. Azzouzi is an academic researcher from University of Le Havre. The author has contributed to research in topics: Cogging torque & Torque. The author has an hindex of 7, co-authored 9 publications receiving 237 citations.
Papers
More filters
Journal ArticleDOI
Quasi-3-D analytical modeling of the magnetic field of an axial flux permanent-magnet synchronous machine
TL;DR: In this paper, a quasi-three-dimensional analytical model of the magnetic field in an axial flux permanent-magnet synchronous machine is presented, which allows rapid parametric studies of the air-gap magnetic field.
Proceedings ArticleDOI
Quasi-3D analytical modeling of the magnetic field of an axial flux permanent magnet synchronous machine
TL;DR: In this paper, a quasi-three-dimensional analytical model of the magnetic field in an axial flux permanent magnet synchronous machine (AFPMSM) is presented, which is derived from an exact 2D analytical solution of magnetic field extended to the 3D case by a simple and effective radial dependence modeling.
Proceedings ArticleDOI
Analytical modeling of an axial flux permanent magnet synchronous generator for wind energy application
TL;DR: In this article, an analytical modeling of an axial flux permanent magnet synchronous generator (AFPMSG) is investigated, which is based on an exact two dimensional (2D) solution of the magnetic field in the generator.
Proceedings ArticleDOI
Influence of skewing on the performances of an axial flux PM wind generator coupled to a diode rectifier
TL;DR: In this paper, a skewed analytical model of an axial flux permanent magnet synchronous machine (AFPMSM) was proposed for further optimization process of a 10 kW/130 rpm, 14 poles AFPMSM dedicated to wind energy application.
Proceedings ArticleDOI
Design Optimization of an Axial Flux PM Synchronous Machine: Comparison Between DIRECT Method and GAs Method
TL;DR: Optimal design results show the effectiveness of DIRECT algorithm and the obtained results are compared in terms of precision of the found global optimum, convergence speed and simplicity of implementation.