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UBC Theses and Dissertations
Efficient implementation of high-fidelity models of interior-permanent magnet synchronous machine drive systems in offline and real-time simulators Tahim, Ekamjot Singh
Abstract
Interior permanent magnet synchronous machines (IPMSMs) are increasingly utilized across various applications, including household appliances, industrial manufacturing machinery, medical equipment, military equipment, propulsion systems, precision servo mechanisms, etc. The accurate and efficient simulations of IPMSM drives are essential for optimizing their design and tuning in motor-drive applications. High-fidelity models are essential to capture the intricate dynamics of IPMSMs, particularly in scenarios demanding computational efficiency and minimal memory requirements. Field-oriented control (FOC) is a widely adopted strategy for IPMSM drives, enabling precise torque and flux control by decoupling the stator current components. However, FOC implementation in IPMSM faces challenges due to the machine’s nonlinear flux-current relationships, which are influenced by factors such as saliency, magnetic saturation, and cross-coupling effects. Furthermore, the flux linkage in IPMSMs can vary significantly with design parameters and operating conditions. Traditional qd models often rely on extensive look-up tables (LUTs) to accurately map flux-current relationships. These LUTs may be obtained from the finite-element analysis at the motor design stage or experimentally for a considered motor prototype, and they can demand substantial memory resources and computational overhead, particularly for wide operating ranges. This thesis introduces innovative models for IPMSM drive systems, focusing on their integration within state-variable-based (SVB) electromagnetic transient (EMT) simulation platforms. The key contributions include the development of state-of-the-art, memory-compact dynamic models tailored for motor-drive SVB-EMT simulations, the implementation of an FOC-based variable parameter controller (VPC) to address parameter mismatches, and the efficient realization of the integrated machine-drive system in offline and real-time environments. Simulation results highlight the proposed approach’s superior accuracy and resource efficiency, demonstrating significant reductions in memory usage and computational demands compared to conventional methods. Furthermore, the proposed methodologies exhibit adaptability, scalability and reproducibility, with potential application to other electric machines driven by power electronic converters. These advancements are envisioned to be pivotal in shaping the next generation of electrical machine modelling and control systems.
Item Metadata
| Title |
Efficient implementation of high-fidelity models of interior-permanent magnet synchronous machine drive systems in offline and real-time simulators
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| Creator | |
| Supervisor | |
| Publisher |
University of British Columbia
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| Date Issued |
2024
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| Description |
Interior permanent magnet synchronous machines (IPMSMs) are increasingly utilized across various applications, including household appliances, industrial manufacturing machinery, medical equipment, military equipment, propulsion systems, precision servo mechanisms, etc. The accurate and efficient simulations of IPMSM drives are essential for optimizing their design and tuning in motor-drive applications. High-fidelity models are essential to capture the intricate dynamics of IPMSMs, particularly in scenarios demanding computational efficiency and minimal memory requirements. Field-oriented control (FOC) is a widely adopted strategy for IPMSM drives, enabling precise torque and flux control by decoupling the stator current components. However, FOC implementation in IPMSM faces challenges due to the machine’s nonlinear flux-current relationships, which are influenced by factors such as saliency, magnetic saturation, and cross-coupling effects. Furthermore, the flux linkage in IPMSMs can vary significantly with design parameters and operating conditions. Traditional qd models often rely on extensive look-up tables (LUTs) to accurately map flux-current relationships. These LUTs may be obtained from the finite-element analysis at the motor design stage or experimentally for a considered motor prototype, and they can demand substantial memory resources and computational overhead, particularly for wide operating ranges. This thesis introduces innovative models for IPMSM drive systems, focusing on their integration within state-variable-based (SVB) electromagnetic transient (EMT) simulation platforms. The key contributions include the development of state-of-the-art, memory-compact dynamic models tailored for motor-drive SVB-EMT simulations, the implementation of an FOC-based variable parameter controller (VPC) to address parameter mismatches, and the efficient realization of the integrated machine-drive system in offline and real-time environments. Simulation results highlight the proposed approach’s superior accuracy and resource efficiency, demonstrating significant reductions in memory usage and computational demands compared to conventional methods. Furthermore, the proposed methodologies exhibit adaptability, scalability and reproducibility, with potential application to other electric machines driven by power electronic converters. These advancements are envisioned to be pivotal in shaping the next generation of electrical machine modelling and control systems.
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| Genre | |
| Type | |
| Language |
eng
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| Date Available |
2024-12-16
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| Provider |
Vancouver : University of British Columbia Library
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| Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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| DOI |
10.14288/1.0447509
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| URI | |
| Degree | |
| Program | |
| Affiliation | |
| Degree Grantor |
University of British Columbia
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| Graduation Date |
2025-05
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| Campus | |
| Scholarly Level |
Graduate
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| Rights URI | |
| Aggregated Source Repository |
DSpace
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Attribution-NonCommercial-NoDerivatives 4.0 International