PATENT CLAIM ANALYSIS

Application Number: 15877333
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["363", "045000"]

Abstract:
A method for controlling a three-phase electrical converter comprises: selecting a three-phase optimized pulse pattern from a table of pre-computed optimized pulse patterns based on a reference flux; determining a two-component optimal flux from the optimized pulse pattern and determine a one-component optimal third variable; determining a two-component flux error from a difference of the optimal flux and an estimated flux estimated based on measurements in the electrical converter; determining a one-component third variable error from a difference of the optimal third variable and an estimated third variable; modifying the optimized pulse pattern by time-shifting switching instants of the optimized pulse pattern such that a cost function depending on the time-shifts is minimized, wherein the cost function comprises a flux error term and a third variable error term, wherein the flux error term is based on a difference of the flux error and a flux correction function providing a flux correction based on the time-shifts and the third variable error term is based on a difference of the third variable error and a third variable correction function providing a third variable correction based on the time-shifts; and applying the modified optimized pulse pattern to the electrical converter.

Claim (Index 5):
The method of  claim 4 , wherein the optimal third variable is the optimal neutral point potential determined from the optimized pulse pattern and the estimated third variable is the estimated neutral point potential determined form measurements in the converter.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 3.37705
- Patent Class: 363.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15687206', '15865426', '15169336', '15097209', '13335206']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8133192451462956
- 35 USC 102 Novelty (BERT): 0.5337133253392576
- Combined Prediction Score: 0.7853586531655918
- Mean Citation Score: 283.464992
- Max Citation Score: 350.92307
- Similarity Product: 231.16617903039872

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test