1
Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
2
Department of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
10.24200/sci.2024.64351.8889
Abstract
Linear resolver is a good candidate for position estimation in severe environments. Performance evaluation of these electromagnetic sensors is a crucial job in the designing process. Due to its 3-D structure, 3-D time-stepping finite element method (FEM) is required for evaluating its performance. However, the simulation time of 3-D FEM is too much, making it unsuitable for design and optimization goals where lots of simulations are needed. Moreover, the quality of the response is affected by the simulation's mesh quality and step time. Therefore, in this paper, the Field Reconstruction Method (FRM) is developed for the evaluation of the proposed sensor. The accuracy and speed of the proposed analytical model are evaluated by 3-D FEM simulations in both AC and DC excitation voltage. Finally, to verify the success of the proposed design and the analytical calculations, the introduced resolver is prototyped and tested. The results show good agreement among the analytical, FEM, and practical assessments
Salimi Moghaddam, G., Nasiri-Gheidari, Z., & Alipour-Sarabi, R. (2024). Field Reconstruction Modeling Method of a Linear Variable Area Resolver. Scientia Iranica, (), -. doi: 10.24200/sci.2024.64351.8889
MLA
Ghasem Salimi Moghaddam; Zahra Nasiri-Gheidari; Ramin Alipour-Sarabi. "Field Reconstruction Modeling Method of a Linear Variable Area Resolver". Scientia Iranica, , , 2024, -. doi: 10.24200/sci.2024.64351.8889
HARVARD
Salimi Moghaddam, G., Nasiri-Gheidari, Z., Alipour-Sarabi, R. (2024). 'Field Reconstruction Modeling Method of a Linear Variable Area Resolver', Scientia Iranica, (), pp. -. doi: 10.24200/sci.2024.64351.8889
VANCOUVER
Salimi Moghaddam, G., Nasiri-Gheidari, Z., Alipour-Sarabi, R. Field Reconstruction Modeling Method of a Linear Variable Area Resolver. Scientia Iranica, 2024; (): -. doi: 10.24200/sci.2024.64351.8889