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Precise in-situ characterization and cross-validation of the electromagnetic properties of a switched reluctance motor

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摘要 The electrical-magnetic characteristics of a Switched Reluctance Motor(SRM)exhibit highly nonlinear relationshipwith respect to the rotor position and excitation current,which poses challenges for both precise static measurements and exact calculation of these properties in real-time control.To guarantee that an in-lab test result can be used in the application,firstly a measurementmethod is proposed to characterize the SRM's electromagnetic properties such as the flux linkage,magnetic co-energy,phase inductance and electromagnetic torque on the basis of an installed SRM control circuitry and half-bridge power converter.By this means the characterization process is equivalent to the online observation in its results.Secondly,a theoreticalmodel is built to discriminate the physical meaning between the incremental inductance and the phase inductance,which is the origin of other relevant parameters.This helps to guide the correct utilization of the characterization result.Thirdly an in-situ cross-validation experimentation according to the magnetizing and demagnetizing status measurement verifies the feasibilities and accuracy of the proposed inductance measuring method,which avoid a dubious FEM-based comparison between the numerical calculation and experimental results.Cross-validation experiment shows that the proposed in-situ characterization scheme obtains an accurate full-range electromagnetic properties.The proposed methodology breaks the barrier between the in-lab measurement and on-line utilization of the SRM parameters,highlighting the merits that it completely includes the in-situ factors and replicates the operational scenario without the need of specifically designed instrumentation,which is especially suitable for rapid field characterization for high power motors.
出处 《Artificial Intelligence in Agriculture》 2020年第1期74-80,共7页 农业人工智能(英文)
基金 The authors gratefully acknowledge the financial support provided by the National Natural Science Foundation of China(project No.11202125 and project No.51305258).
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