Invention Grant
- Patent Title: Method for self-adaptively optimizing parameters of a main circuit in a BBMC based on a current rating
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Application No.: US16909825Application Date: 2020-06-23
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Publication No.: US10915692B2Publication Date: 2021-02-09
- Inventor: Xiaoping Zhang , Ji Liu , Ruirui Zhang
- Applicant: HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
- Applicant Address: CN Hunan
- Assignee: HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
- Current Assignee: HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
- Current Assignee Address: CN Hunan
- Agency: Wayne & Ken, LLC
- Priority: CN201811619258 20181227
- Main IPC: G06F30/00
- IPC: G06F30/00 ; G06F30/398 ; G06F30/20 ; G06F111/06 ; G06F111/10

Abstract:
Taking parameters of a main circuit in a BBMC as optimization objects, and a total harmonic distortion of an output voltage of the BBMC, a deviation between an actual output current and a corresponding rated output current as optimization objectives, a mathematical model between optimization objects and optimization objectives is established. A multi-objective optimization satisfaction function and a multi-objective optimization fitness function are established by selecting a current rating as a rated output current of the BBMC. An adaptive wolf pack optimization algorithm is adopted to obtain a set of optimal parameters of the main circuit. The rated output current is changed to obtain n sets of optimal parameters, and functional relationships between the optimal parameters of the main circuit in the BBMC are obtained using a numerical fitting method. Optimal parameters of the main circuit corresponding to different current ratings are determined according to the functional relationships.
Public/Granted literature
- US20200380196A1 METHOD FOR SELF-ADAPTIVELY OPTIMIZING PARAMETERS OF A MAIN CIRCUIT IN A BBMC BASED ON A CURRENT RATING Public/Granted day:2020-12-03
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