2023 Fiscal Year Final Research Report
A Novel Pulse-Amplitude Modulation Control with Fuzzy-based Automatic Excitation Angle and Adaptive Deadtime for Motor Drives in Consideration of Core Loss
Project/Area Number |
21K14182
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 21040:Control and system engineering-related
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Research Institution | Shimane University (2023) Toyota Technological Institute (2021-2022) |
Principal Investigator |
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Project Period (FY) |
2021-04-01 – 2024-03-31
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Keywords | PAM and fuzzy control / IPMSM drive systems / SiC/GaN power inverter / Automatic excitation / Adaptive deadtime / Core and inverter losses / Reduction of harmonics / Finite element analysis |
Outline of Final Research Achievements |
- A novel pulse amplitude modulation (PAM) control with a fuzzy-based automatic excitation angle scheme was successfully developed and implemented in an experimental IPMSM drive under silicon carbide (SiC) inverter excitation at different rotational speeds. Furthermore, I successfully developed an adaptive dead-time algorithm for the IPMSM drive under inverter excitation. - In addition, the IPMSM core loss, copper loss, voltage-current harmonics, and inverter loss were thoroughly evaluated. Mutual effects of the dead-time and control sample time at high switching frequencies on the motor core loss and inverter loss were assessed. Physic-based insights and explanations of the obtained results were also provided. Moreover, an isolated 2-phase buck-boost converter was researched for improvement of DC-bus control in motor drives. Simulation models in MATLAB and JMAG were also designed for numerical analysis on the core loss and harmonics of IPMSM. Ten related journal papers were published.
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Free Research Field |
Electrical Engineering and Control Systems
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Academic Significance and Societal Importance of the Research Achievements |
I proposed a novel PAM control with fuzzy-based automatic excitation angle and an adaptive deadtime algorithm, that are useful for IPMSM drives in electric vehicle with reduction of motor and inverter losses. The obtained results can be treated as reference for design of high-efficient motor drives.
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