PATENT CLAIM ANALYSIS

Application Number: 15879707
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["706", "015000"]

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.

Claim (Index 3):
The method of  claim 2 , wherein the compensating dq-control voltages from the current-loop neural network and feedforward controller are further added together to form a resultant compensating dq-control voltage; and\n controlling the PWM converter using the resultant compensating dq-control voltage.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 86.0
- Lexical Diversity: 1.69231
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14451768', '15095333', '14299515', '13861672', '15149560']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3336912260568714
- 35 USC 102 Novelty (BERT): 0.5046734301399259
- Combined Prediction Score: 0.3507894464651768
- Mean Citation Score: 200.2683
- Max Citation Score: 232.75789
- Similarity Product: 158.64341565573454

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

Dataset: test