Invention Grant
- Patent Title: Method of speed control based on self-learning model of load torque and moment inertia
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Application No.: US17546563Application Date: 2021-12-09
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Publication No.: US11804793B2Publication Date: 2023-10-31
- Inventor: Shao-Kai Tseng , Pai-En Cheng , Chen-Yeh Lee
- Applicant: DELTA ELECTRONICS, INC.
- Applicant Address: TW Taoyuan
- Assignee: DELTA ELECTRONICS, INC.
- Current Assignee: DELTA ELECTRONICS, INC.
- Current Assignee Address: TW Taoyuan
- Agency: MUNCY, GEISSLER, OLDS & LOWE, P.C.
- Priority: CN 2110613138.9 2021.06.02
- Main IPC: H02P21/00
- IPC: H02P21/00 ; H02P21/20 ; H02P21/14
Abstract:
A method of speed control based on a self-learning model of load torque and a moment inertia is applied to a controller of controlling a motor. The method includes steps of: establishing a relationship between the load torque and the moment inertia by a self-learning manner, correspondingly acquiring a value of the moment inertia according to a value of the load torque, and adjusting parameters of the controller to control rotation of the motor according to the value of the moment inertia.
Public/Granted literature
- US20220393626A1 METHOD OF SPEED CONTROL BASED ON SELF-LEARNING MODEL OF LOAD TORQUE AND MOMENT INERTIA Public/Granted day:2022-12-08
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