The Experts below are selected from a list of 1905 Experts worldwide ranked by ideXlab platform

Robert D Lorenz - One of the best experts on this subject based on the ideXlab platform.

  • analysis of iron and magnet losses in surface permanent magnet machines resulting from injection based self sensing position estimation
    IEEE Transactions on Industry Applications, 2012
    Co-Authors: Shihchin Yang, Robert D Lorenz
    Abstract:

    This paper presents a systematic analysis of iron and magnet losses in surface-permanent-magnet (SPM) machines for the position estimation using high-frequency (HF) signal injection. Standard SPM machines with cylindrical rotors are analyzed. It is shown that the magnet eddy current loss due to the superimposed HF signal should be considered for SPM-machine injection-based position estimation. With a proper machine design, the resulting HF Armature Flux linkage in the magnet can convert to the HF leakage Flux in the stator. The decreased magnet eddy current loss can be achieved, leading to better performance on both power conversion and injection-based position estimation. This paper includes the experimental evaluation of two SPM machines with different winding configurations.

  • analysis of iron and magnet losses in surface permanent magnet machines resulting from injection based self sensing position estimation
    Energy Conversion Congress and Exposition, 2011
    Co-Authors: Shihchin Yang, Robert D Lorenz
    Abstract:

    This paper presents a systematic analysis of iron and magnet losses in surface permanent magnet (SPM) machines for the self-sensing (sensorless) position estimation using HF signal injection. It is shown that the magnet eddy current losses due to the superimposed HF signal are significant and should be considered for SPM machine injection-based self-sensing drives. When a SPM machine uses concentrated windings (CW), the resulting HF Armature Flux linkage component is reduced because of the rich HF Armature leakage Fluxes in the stator. The decreased magnet eddy current losses can be achieved, resulting in better performance on both power conversion and self-sensing estimation. Two SPM machine prototypes with different winding configurations are used for experimental evaluation.

Shihchin Yang - One of the best experts on this subject based on the ideXlab platform.

  • analysis of iron and magnet losses in surface permanent magnet machines resulting from injection based self sensing position estimation
    IEEE Transactions on Industry Applications, 2012
    Co-Authors: Shihchin Yang, Robert D Lorenz
    Abstract:

    This paper presents a systematic analysis of iron and magnet losses in surface-permanent-magnet (SPM) machines for the position estimation using high-frequency (HF) signal injection. Standard SPM machines with cylindrical rotors are analyzed. It is shown that the magnet eddy current loss due to the superimposed HF signal should be considered for SPM-machine injection-based position estimation. With a proper machine design, the resulting HF Armature Flux linkage in the magnet can convert to the HF leakage Flux in the stator. The decreased magnet eddy current loss can be achieved, leading to better performance on both power conversion and injection-based position estimation. This paper includes the experimental evaluation of two SPM machines with different winding configurations.

  • analysis of iron and magnet losses in surface permanent magnet machines resulting from injection based self sensing position estimation
    Energy Conversion Congress and Exposition, 2011
    Co-Authors: Shihchin Yang, Robert D Lorenz
    Abstract:

    This paper presents a systematic analysis of iron and magnet losses in surface permanent magnet (SPM) machines for the self-sensing (sensorless) position estimation using HF signal injection. It is shown that the magnet eddy current losses due to the superimposed HF signal are significant and should be considered for SPM machine injection-based self-sensing drives. When a SPM machine uses concentrated windings (CW), the resulting HF Armature Flux linkage component is reduced because of the rich HF Armature leakage Fluxes in the stator. The decreased magnet eddy current losses can be achieved, resulting in better performance on both power conversion and self-sensing estimation. Two SPM machine prototypes with different winding configurations are used for experimental evaluation.

Abdolreza Esmaeli - One of the best experts on this subject based on the ideXlab platform.

Mojtaba Khanalizadeh - One of the best experts on this subject based on the ideXlab platform.

M Z Ahmad - One of the best experts on this subject based on the ideXlab platform.

  • coil test analysis of wound field three phase Flux switching machine with non overlapping winding and salient rotor
    IEEE International Power Engineering and Optimization Conference, 2014
    Co-Authors: Faisal Khan, Erwan Sulaiman, M Z Ahmad
    Abstract:

    Topologies for three-phase salient rotor Flux-switching machines having DC field winding are presented and coil test analysis, peak Armature Flux linkage, cogging torque, induced emf and average torque are examined. Salient rotor is used to modulate and switch the polarity of the Flux linkage in the Armature winding and this is the basic principle of operation of these types of machines. Non-overlapping winding and toothed-rotor are the clear advantages of these topologies as the copper losses gets reduce and rotor becomes more robust. Finite Element Analysis (FEA) is used to examine the three phase topology of proposed Wound-field Flux switching motor with non-overlapping winding and salient rotor.