Ayesha Sayed

ORCID: 0000-0003-1818-6459
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About
Contact & Profiles
Research Areas
  • Electric Motor Design and Analysis
  • Magnetic Properties and Applications
  • Magnetic Bearings and Levitation Dynamics
  • Scientific Measurement and Uncertainty Evaluation
  • Sensor Technology and Measurement Systems
  • Advanced Sensor Technologies Research

Tesla (United States)
2021

Purdue University West Lafayette
2018

Resolvers are commonly used to measure the rotor position in motor drive applications. However, manufacturing imperfections introduce a measurement error, which manifests itself as relatively small oscillations primarily at fundamental and second harmonic frequencies of resolver true electrical position. This affects field orientation control machines, leading currents electromagnetic torque. paper focuses on impact error series-hybrid drivetrain architecture. In this topology, substantial...

10.1109/ecce.2018.8557862 article EN 2022 IEEE Energy Conversion Congress and Exposition (ECCE) 2018-09-01

The design of squirrel-cage induction motors (IMs) entails the capability to predict motor efficiency map with high accuracy over an operating range. In particular, modeling harmonic rotor bar currents becomes important for loss analysis. theory, it is possible analyze using time-stepping finite element analysis (TS-FEA); however, this not viable due computational limitations. To bridge gap, we set forth a computationally efficient method that couples magnetostatic FEA qd-circuit model cage....

10.1109/tec.2021.3058802 article EN IEEE Transactions on Energy Conversion 2021-02-13

This is Part II of a paper that sets forth computationally efficient method to estimate harmonic rotor bar currents in induction motors for accurate loss analysis. The couples magnetostatic finite element analysis (FEA) and an extended-qd cage circuit model. In I, we formulated two subproblems determining separate components the induced currents. begins with details regarding subproblem solution methods. Second, set FEA-based parameter estimation subproblems. Finally, proposed model...

10.1109/tec.2021.3058804 article EN IEEE Transactions on Energy Conversion 2021-02-13
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