• 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
  • Application No.: US15290253
    Application Date: 2016-10-11
  • Publication No.: US20170111000A1
    Publication Date: 2017-04-20
  • Inventor: Sou SAITOTaku SASAKITsutomu SHIKAGAWA
  • Applicant: FANUC CORPORATION
  • Priority: JP2015-205583 20151019
  • Main IPC: H02P23/14
  • IPC: H02P23/14 H02P29/60 G05B13/02 H02P27/06
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
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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