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Your search keyword '"Gundogmus, Omer"' showing total 26 results
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26 results on '"Gundogmus, Omer"'

7. Comparison of Electric Machine Types for Electrically Driven Engine Accessories Using Multiphysics Simulation Tools

Author

Vadamodala, Lavanya, primary, Das, Shuvajit, additional, Gundogmus, Omer, additional, Sozer, Yilmaz, additional, Chowdhury, Anik, additional, Bandarkar, Abdul W., additional, Harasis, Salman, additional, Chowdhury, Sifat M., additional, Haque, Ehsanul, additional, Husain, Tausif, additional, Venegas, Fernando, additional, Colavincenzo, David, additional, and Geither, Jeffrey, additional

Published
2021
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8. DC-Link Current Ripple Reduction in Switched Reluctance Machine Drives

Author

Haque, Md Ehsanul, primary, Chowdhury, Anik, additional, Chowdhury, Sifat Morshed, additional, Harasis, Salman, additional, Das, Shuvajit, additional, Sozer, Yilmaz, additional, Gundogmus, Omer, additional, Vadamodala, Lavanya, additional, Venegas, Fernando, additional, Colavincenzo, David, additional, and Geither, Jeffrey, additional

Published
2021
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26. SIMULTANEOUS TORQUE RIPPLE AND ACOUSTIC NOISE MITIGATION IN SWITCH RELUCTANCE MACHINES

Author

Gundogmus, Omer

Subjects
Electrical Engineering, Switch Reluctance Machine, Acoustic Noise and Vibration, Radial Force Ripple, Current Harmonic Injection
Abstract

This thesis provides a detailed analysis of the root cause of the acoustic noise and vibration generated in Switched Reluctance Machines (SRMs) and proposes control solutions to address the issues. Dynamic current profiling methods are proposed through multi-objective optimizations. The performance of the proposed controllers is verified through multi-physics simulations and experimental testing. The SRM under consideration in this study is modeled in the electromagnetic FEA simulation based on the given technical specification. The electrical and mechanical output data from the FEA are extracted for the SRM modeling for the dynamic simulations. The radial force and the torque are modeled as a function of the rotor position and phase currents using piecewise linear lookup tables in the dynamic simulations. The peak to peak force and torque ripples are predicted accurately during the process of off-line optimizations for the current profile generations. The electromagnetic, structural, and acoustic analyses are coupled in the multi-physics simulation software to predict the noise, vibration and harshness (NVH) performance of the SRM using the proposed current shapes. Two different optimization approaches are implemented to generate current profiles including control-based and current harmonic injections. The shape of the current or the injected current harmonics are optimized globally through an iterative multi-objective optimization algorithm. The control-based injections are either implemented on the actual phase reference currents or on the quadrature axis of the phase currents in the rotating reference frame. While the control based injections reduce the acoustic noise and vibration by flattening the radial force and torque productions, the methods perform poorly on some of the frequency ranges depending on the operating speeds. Then, the current harmonic injection algorithm is proposed to eliminate radial force harmonics at resonant natural mode frequencies, in addition to reducing the torque and radial force ripples. The dynamic simulation results provide a comparison of the conventional and proposed current profiles for the reduction of the radial force and torque ripple. The generated current waveforms from the optimizations are applied to FEA models to predict the vibration and acoustics noise through multi-physics simulation software. The current waveforms using three different optimization methods along with the conventional waveform demonstrated a significant comparative improvement for the proposed methodology. The experimental prototype SRM and the test platform have been developed to verify the performance of the proposed control algorithms. The dynamic and multi-physics FEA simulations and the experimental results demonstrated significant improvements in reducing the acoustic noise and vibration over a wide range of operating conditions compared to conventionally controlled SRMs.

Published
2020

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