Filtering, smoothing, memetic algorithms, and feasible direction methods for estimating system state and unknown parameters of electromechanical motion devices
US10846596B2 · kind B2 · utility
Inventor
Key dates
| Filing date | Nov 23, 2016 |
| Grant date | Nov 24, 2020 |
| Priority date | — |
| Expiry date | Sep 3, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/123
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This document presents methods by which system parameters are tracked online. For adjusting the values of the system parameters, the presented methods take advantage of the data that become available during the system's operation. The values of the parameters can be used for estimating the system state and controlling the system. This document includes methods comprising constructing a cost function based on the data collected during the system operation as a function system parameters and running a memetic algorithm that reduces the cost function value. A memetic algorithm combines an evolutionary or a population-based algorithm with a procedure for local improvement (local search, refinements) of candidate solutions. This document includes methods by which the rotor speed, the rotor flux, and the stator currents of the induction motor can be estimated from electrical measurements while covariance matrices of noise are adjusted online.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.