Temperature estimation of switched reluctance machines using thermal impulse response technique

Date

2017-01-12

Author

Rahman, Nasim Arbab
Gu, Lei
Bostancı, Emine
Fahimi, Babak

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

24
views

0
downloads

Identifying the hot spots in an electrical machine is a critical step in the electromagnetic design process. Failure of this diagnosis can result in significant damages to the machine. However, a detailed thermal analysis of an electric machine can be extremely time consuming. Therefore, a new approach called Thermal Impulse Response (TIR) modelling is proposed to estimate the temperature of various parts in an electric machine. Use of TIR modelling will improve the simulation time significantly. Simulation and experimental results are carried to support the proposed method.

Subject Keywords

Switched reluctance machine, Temperature distribution, Thermal impulse response (TIR) technique, Thermal analysis

URI

https://hdl.handle.net/11511/36369

DOI

https://doi.org/10.1109/cefc.2016.7816079

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

On modelling of microwave heating of a ceramic material KOZLOV, P. V.; Rafatov, İsmail; KULUMBAEV, E. B.; LELEVKIN, V. M. (2007-05-07) A simple model is proposed and tested for simulations of ceramic processing by microwave heating. The model is based on a piecewise constant approximation of the material properties and makes it possible to separate and analyse different effects caused by the sample shape and the dependence of the material properties on temperature. Specifically, the simulation results demonstrate that microwave heating of an alumina sample can be very sensitive to a variation of its dielectric constant with temperature. Fo...
Fault Identification of Rotating Electric Machines using Comparative Analysis Methods Balan, H.; Vadan, I.; Buzdugan, M.; Botezan, A.; Karaissas, P. (2011-09-10) The analysis of the electrical machines operation, usually appeals to monitoring and diagnosis techniques, the operation faults involving electrical, mechanical and aero-dynamical parameters modification. The mechanical faults are due mainly to the unbalance of the rotating parts of the electrical machines and their analysis can be carried out using the vibration amplitude versus time and/or the vibration speed versus frequency characteristics. This paper presents a fault identification method, using a comp...
Time resolved Fabry-Perot measurements of cavity temperature in pulsed QCLs Gundogdu, S.; Pisheh, H. S.; Demir, A.; Gunoven, M.; Aydinli, A.; Sirtori, C. (The Optical Society, 2018-3-5) Temperature rise during operation is a central concern of semiconductor lasers and especially difficult to measure during a pulsed operation. We present a technique for in situ time-resolved temperature measurement of quantum cascade lasers operating in a pulsed mode at similar to 9.25 mu m emission wavelength. Using a step-scan approach with 5 ns resolution, we measure the temporal evolution of the spectral density, observing longitudinal Fabry-Perot modes that correspond to different transverse modes. Con...
Active vibration suppression of a smart beam via self sensing piezoelectric actuator Uğur, Arıdoğan; Şahin, Melin; Yaman, Yavuz; Volkan, Nalbantoğlu (null; 2009-08-17) In this paper, an active vibration suppression of a smart beam using self-sensing piezoelectric actuator is presented. The smart beam is composed of a cantilever aluminium beam with four surface-bonded piezoelectric patches symmetrically located both side of the beam. Piezoelectric materials can transform mechanical deformation to electric signal and vice versa. This property of piezoelectric materials enables them to be used as an actuator and a sensor. In self-sensing actuator configuration, the piezoelec...
Optimal Control of a Smart Beam by Using a Luenberger Observer Onat, Cem; Şahin, Melin; Yaman, Yavuz (2013-06-26) This paper presents the design of an optimal vibration control mechanism, namely an LQR controller, with a Luenberger observer for a smart beam having surface bonded piezoelectric sensors and actuators. The approach intends to suppress the vibrations of the first flexural resonance of the smart beam. The smart beam studied was a cantilever aluminium beam with eight surface bonded Lead-Zirconate-Titanate (PZT) patches in bimorph configuration. The smart beam was excited at its first resonance frequency (appr...

Citation Formats

N. A. Rahman, L. Gu, E. Bostancı, and B. Fahimi, “Temperature estimation of switched reluctance machines using thermal impulse response technique,” 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36369.