Neural network and method for estimating regions of motor operation from information characterizing the motor
US8080964B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 31, 2005 |
| Grant date | Dec 20, 2011 |
| Priority date | — |
| Expiry date | Apr 24, 2028 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH02P23/0077
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
A method for collecting operational parameters of a motor may include controlling the energization of a phase winding of the motor to establish an operating point, monitoring operational parameters of the motor that characterize a relationship between the energization control applied to the motor's phase winding and the motor's response to this control, and collecting information of the operational parameters for the operating point that characterizes the relationship between the applied energization control and the motor's response. The collected information characterizing the relationship between the applied energization control and the motor's response may be employed by a neural network to estimate the regions of operation of the motor. And a system for controlling the operation of motor may employ this information, the neural network, or both to regulate the energization of a motor's phase winding during a phase cycle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.