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US 10,649,441 B2Granted
Acceleration and deceleration controller
AssigneeFanuc Corporation
InventorsNobuaki Aizawa, Tomokazu Kayanuma
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AssigneeFanuc Corporation
InventorsNobuaki Aizawa, Tomokazu Kayanuma
Estimating the term…
A controller for a machine tool includes a machine learning apparatus configured to learn an Nth-order time-derivative component of a speed of each axis of the machine tool. The machine learning apparatus includes: a state observation section configured to observe first state data representing the Nth-order time-derivative component of the speed of each axis as a state variable representing a current state of an environment; a determination data acquisition section configured to acquire determination data representing a properness determination result of at least any one of machining accuracy, surface quality, and machining time of the machined workpiece; and a learning section configured to learn the Nth-order time-derivative component of the speed of each axis in relation to at least any one of the machining accuracy, the surface quality, and the machining time of the machined workpiece using the state variable and the determination data.
An acceleration and deceleration controller for controlling a machine tool configured to machine a workpiece, the acceleration and deceleration controller comprising:
A machine learning apparatus for learning an Nth-order time-derivative component of a speed of each axis of a machine tool configured to machine a workpiece, the machine learning apparatus comprising:
An acceleration and deceleration controller for controlling a machine tool configured to machine a workpiece, the acceleration and deceleration controller comprising:
A machine learning method for learning an Nth-order time-derivative component of a speed of each axis of a machine tool configured to machine a workpiece, the machine learning method comprising:
Dependencies are inferred from the claim text.