Systems, methods and devices for approximate dynamic programming vector controllers for operation of IPM motors in linear and over modulation regions
US10367437B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 25, 2018 |
| Grant date | Jul 30, 2019 |
| Priority date | — |
| Expiry date | Jan 25, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH02P27/08
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
Described herein is an approximate dynamic programming (ADP) vector controller for control of a permanent magnet (PM) motor. The ADP controller is developed using the full dynamic equation of a PM motor and implemented using an artificial neural network (ANN). A feedforward control strategy is integrated with the ANN-based ADP controller to enhance the stability and transient performance of the ADP controller in both linear and over modulation regions. Simulation and hardware experiments demonstrate that the proposed ANN-based ADP controller can track large reference changes with high efficiency and reliability for PM motor operation in linear and over modulation regions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.