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1. Electric Drives with Wide Bandgap Devices for Two-Phase Very Low Inductance Machines

   Zhang, Y.; Lawhorn, D. L.; Han, P.; Cramer, A. M.; Ionel, D. M. (October 2020, Proceedings, 2020 IEEE Energy Conversion Congress and Exposition (ECCE), Detroit, MI)

   Slotless and coreless machines with low inductance and low core losses are attractive for high speed and high power density applications. With the increase in fundamental frequency, typical drive implementations using conventional silicon-based devices are performance limited and also produce large current and torque ripples. This paper presents a systematic study of proposed drive configurations implemented with wide bandgap (WBG) devices in order to mitigate such issues for 2-phase very low inductance machines. Two inverter topologies, i.e., a dual H-bridge inverter with maximum redundancy and survivability and a 3-leg inverter for reduced cost, are considered. Feasible modulation schemes are derived based on theoretical analysis and the associated maximum output voltages are identified. Simulation and experimental results are provided to validate the feasibility of drive systems and the effectiveness of analysis. 

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2. Effectiveness of Power Electronic Controllers in Mitigating Acoustic Noise and Vibration in High-Rotor Pole SRMs

   https://doi.org/10.3390/en14030702  

   Zhang, Ziyan; Yaman, Selin; Salameh, Mohamad; Singh, Suryadev; Chen, Chengxiu; Krishnamurthy, Mahesh (February 2021, Energies)

   null (Ed.)

   This paper presents a comparative evaluation of power electronic control approaches for vibro-acoustic noise reduction in High Rotor-Pole Switched Reluctance Machines (HR-SRM). It carries out a fundamental analysis of approaches that can be used to target acoustic noise and vibration reduction. Based on the comprehensive study, four candidates for control have been identified and applied to the HR-SRM drive to evaluate their effectiveness and identify challenges. These four methods include phase advancing, current shaping based on field reconstruction, and random hysteresis band with and without spectrum shaping. The theoretical background, implementation, and vibro-acoustic noise reduction performance of each method are presented in detail. Comparative studies from simulation and experimental measurements have been used to identify the most effective solution to acoustic noise and vibration reduction in HR-SRM configuration. 

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3. Time-Efficient Behavioral Modeling of Switched Reluctance Machines

   https://doi.org/10.1109/ITEC51675.2021.9490084  

   Jin, Zichao; Zhang, Ziyan; Chen, Chengxiu; Yaman, Selin; Krishnamurthy, Mahesh (June 2021, 2021 IEEE Transportation Electrification Conference & Expo (ITEC))

   null (Ed.)

   This study presents a time-efficient modelling approach for dynamic behavior and efficiency analysis of a Switched Reluctance Machines (SRM). It employs a hybrid model combining Simulink, finite element analysis (FEA), and hardware measurements to create an accurate behavioral model of the machine. In order to enhance accuracy of the estimated performance, Steinmetz equation is employed to characterize core loss in the machine across different operating points. This approach serves as a template for developing a time-efficient model to analyze performance of any SRM with a high degree of accuracy. Simulation and experimental results are used to show effectiveness of the proposed approach. 

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4. Multiharmonic Force Vector Model for Bearingless Electric Motors

   https://doi.org/10.1109/TIA.2024.3481210  

   Khamitov, Anvar; Severson, Eric L (October 2024, IEEE Transactions on Industry Applications)

   This paper proposes and develops a new analytic bearingless machine model that incorporates multiple airgap harmonic field interactions and has several advantages. The model can be used to address levitation performance requirements by developing force/torque regulation methods to precisely calculate commands to current regulators. This allows relaxing constraints during the design stage and has the potential to enable consideration of higher performance bearingless machines. Furthermore, analogous to torque enhancement in conventional electric machines, the proposed model can be used to identify options for suspension force enhancement in bearingless motors by controlling multiple magnetic field harmonics. This paper provides a detailed derivation of the model and shows how it can be used to improve force regulation accuracy and enhance force capacity. The paper finds that by controlling four airgap harmonic fields, instead of the typical two harmonics, force capacity can be increased by approximately 40%. Hardware measurements using a 10-phase bearingless induction machine validate the proposed model and force capacity increase. 

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5. A Hybrid Time-Efficient Modeling Approach for Acoustic Noise Prediction in SRMs

   https://doi.org/10.1109/ITEC51675.2021.9490075  

   Zhang, Ziyan; Jin, Zichao; Chen, Chengxiu; Yaman, Selin; Krishnamurthy, Mahesh (June 2021, 2021 IEEE Transportation Electrification Conference & Expo (ITEC), 2021)

   null (Ed.)

   This study presents a computationally cost-effective modeling approach for a switched reluctance machine (SRM) towards predicting vibration and acoustic noise. In the proposed approach, the SRM is modeled using Finite Element (FE) software for capturing magnetic snapshots from static simulations. Using an advanced field reconstruction method (FRM), these snapshots are used to develop basis functions to estimate magnetic fields under any arbitrary stator excitation and at any desired rotor position. This method includes magnetic properties of the machine and can estimate flux density at once instead of partially predicting it. The vibration model is built in FE software while the acoustic noise is predicted using the analytical method. The proposed study can significantly reduce the computational time for vibration and noise analysis with decent accuracy. Dynamic simulation by finite-element analysis (FEA) software and experimental verification have been carried out to verify the effectiveness of the proposed hybrid model. 

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