Invention Grant
- Patent Title: Control of matrix converters using machine learning
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Application No.: US16826635Application Date: 2020-03-23
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Publication No.: US11733680B2Publication Date: 2023-08-22
- Inventor: Mahmoud El Chamie , Vladimir Blasko
- Applicant: Hamilton Sundstrand Corporation
- Applicant Address: US NC Charlotte
- Assignee: Hamilton Sundstrand Corporation
- Current Assignee: Hamilton Sundstrand Corporation
- Current Assignee Address: US NC Charlotte
- Agency: Locke Lord LLP
- Agent Scott D. Wofsy; Judy R. Naamat
- Main IPC: G05B19/4155
- IPC: G05B19/4155 ; G06N20/00 ; G05B13/04 ; G06N5/02 ; H02M5/00

Abstract:
A method of controlling a matrix converter system is provided. The method includes receiving an operating condition and consulting a trained Q-data structure for reward values associated with respective switching states of the switching matrix for an operating state that corresponds to the operating condition. The Q-data structure is trained using Q-learning to map a reward value predicted for respective switching states to respective discrete operating states. The method further includes sorting the reward values predicted for the respective switching states mapped to the operating state that corresponds to the operating condition, selecting a subset of the set of the mappings as a function of a result of sorting the reward values associated with the switching states of the operating state, evaluating each switching state included in the subset, and selecting an optimal switching state for the operating condition based on a result of evaluating the switching states of the subset.
Public/Granted literature
- US20210294304A1 CONTROL OF MATRIX CONVERTERS USING MACHINE LEARNING Public/Granted day:2021-09-23
Information query
IPC分类: