Invention Grant
US08080964B2 Neural network and method for estimating regions of motor operation from information characterizing the motor
有权
用于从电动机特征的信息估计电机运行区域的神经网络和方法
- Patent Title: Neural network and method for estimating regions of motor operation from information characterizing the motor
- Patent Title (中): 用于从电动机特征的信息估计电机运行区域的神经网络和方法
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Application No.: US11718325Application Date: 2005-10-31
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Publication No.: US08080964B2Publication Date: 2011-12-20
- Inventor: Christopher Allen Hudson , Nimal Lobo , Krishnan Ramu
- Applicant: Christopher Allen Hudson , Nimal Lobo , Krishnan Ramu
- Applicant Address: US VA Blacksburg
- Assignee: Virginia Tech Intellectual Properties, Inc.
- Current Assignee: Virginia Tech Intellectual Properties, Inc.
- Current Assignee Address: US VA Blacksburg
- Agency: Dickinson Wright PLLC
- International Application: PCT/US2005/039432 WO 20051031
- International Announcement: WO2006/050344 WO 20060511
- Main IPC: B25J9/18
- IPC: B25J9/18 ; G05B19/19

Abstract:
A method for collecting operational parameters of a motor may include controlling the energization of a phase winding of the motor to establish an operating point, monitoring operational parameters of the motor that characterize a relationship between the energization control applied to the motor's phase winding and the motor's response to this control, and collecting information of the operational parameters for the operating point that characterizes the relationship between the applied energization control and the motor's response. The collected information characterizing the relationship between the applied energization control and the motor's response may be employed by a neural network to estimate the regions of operation of the motor. And a system for controlling the operation of motor may employ this information, the neural network, or both to regulate the energization of a motor's phase winding during a phase cycle.
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