Efficiency optimization control method and system for permanent magnet synchronous motor
US12348160B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Aug 30, 2023 |
| Grant date | Jul 1, 2025 |
| Priority date | — |
| Expiry date | Jan 18, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH02P21/14
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
An efficiency optimization control method and system for permanent magnet synchronous motor are provided, and the method includes: step 1: obtaining an approximate optimal direct axis (d-axis) current of a permanent magnet synchronous motor by using a loss model algorithm; step 2: performing, by using the approximate optimal d-axis current as an initial value and using a deep reinforcement learning algorithm, an optimizing process on the approximate optimal d-axis current to construct an optimal deep reinforcement learning model; and step 3: inputting currently acquired state data of the permanent magnet synchronous motor into the optimal deep reinforcement learning model to obtain a control parameter value corresponding to an optimal efficiency of the permanent magnet synchronous motor, and controlling the permanent magnet synchronous motor based on the control parameter value. Therefore, real-time target control for the permanent magnet synchronous motor is achieved.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.