Antenna with ferrite-core and dielectric-shell

    公开(公告)号:US11637374B2

    公开(公告)日:2023-04-25

    申请号:US16876180

    申请日:2020-05-18

    IPC分类号: H01Q7/08 H01Q11/08

    摘要: In an aspect, the disclosed technology relates to embodiments of a lossy ferrite-core and dielectric-shell (LFC-DS) structure in an axial-mode helical antenna (AM-HA) or a meandered dipole antennas. The instant topology can be used to facilitates the broader use of ferrite materials, including lossy ferrite material, for a miniature AM-HA or meandered dipole antennas, e.g., by overcoming the lossy characteristics of the lossy ferrite. The resulting miniature AM-HA can be used for high frequency operation, including at over 1 GHz, making the instant topology suitable for very high frequency (VHF) and ultra-high Frequency (UHF) applications.

    NEURAL-NETWORK BASED MTPA, FLUX-WEAKENING AND MTPV FOR IPM MOTOR CONTROL AND DRIVES

    公开(公告)号:US20230032672A1

    公开(公告)日:2023-02-02

    申请号:US17816821

    申请日:2022-08-02

    IPC分类号: B60W20/30 B60W50/12

    摘要: A method for determining MTPA, flux-weakening, and MTPV operating points over the full speed range of an IPM motor for the most efficient torque control of the motor using a neural network is provided. The neural network is trained using a cloud-based neural network training algorithm. A special technique is developed to generate neural network training data, that is particularly suitable and favorable, to develop a high-performance neural network-based IPM torque control system, and the impact of variable motor parameters is embedded into the neural network system development and training. The provided method can achieve a fast and accurate current reference generation with a simple neural network structure, for optimal torque control of an IPM motor. The method can handle the MTPA, MTPV, and flux-weakening operation considering physical motor constraints.