- Patent Title: Machine learning apparatus and method for learning correction value in motor current control, correction value computation apparatus including machine learning apparatus and motor driving apparatus
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Application No.: US15290253Application Date: 2016-10-11
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Publication No.: US10090791B2Publication Date: 2018-10-02
- Inventor: Sou Saito , Taku Sasaki , Tsutomu Shikagawa
- Applicant: FANUC CORPORATION
- Applicant Address: JP Yamanashi
- Assignee: FANUC CORPORATION
- Current Assignee: FANUC CORPORATION
- Current Assignee Address: JP Yamanashi
- Agency: Hauptman Ham, LLP
- Priority: JP2015-205583 20151019
- Main IPC: H02P23/14
- IPC: H02P23/14 ; H02P29/60 ; G05B13/02 ; H02P27/06 ; H02P23/00

Abstract:
A machine learning apparatus includes: a state observation unit that observes a state variable including an error between a position command and an actual position of a rotor, temperature of a motor driving apparatus and the motor, and voltage of each part of the motor driving apparatus; and a learning unit that learns a current feedback offset correction value for correcting an offset in the current feedback value, an inter-current-feedback-phase unbalance correction value for correcting an unbalance between phases in the current feedback value, and a current command correction value for a dead zone for correcting a current command in order to compensate a decreased amount of current due to a dead zone by which switching elements of upper and lower arms in the same phase of an inverter for motor power supply are not simultaneously turned on, in accordance with a training data set defined by the state variable.
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