公开(公告)号：US11507070B2

公开(公告)日：2022-11-22

申请号：US17324859

申请日：2021-05-19

Applicant: Andritz Inc.

Inventor： Arthur Gooch

IPC: G06F9/44 ,  G06F9/455 ,  G06F9/445 ,  G05B19/418 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an industrial plant controller that controls operation of an industrial plant. In one aspect, a method comprises generating training data using an industrial plant simulation model that simulates operation of the industrial plant. The industrial plant controller is trained by a reinforcement learning technique using the training data. The industrial plant controller is configured to process an input comprising a state vector characterizing a state of the industrial plant in accordance with a plurality of industrial plant controller parameters to generate an action selection policy output that defines a control action to be performed to control the operation of the industrial plant.

公开(公告)号：US20210271234A1

公开(公告)日：2021-09-02

申请号：US17324859

申请日：2021-05-19

Applicant: Andritz Inc.

Inventor： Arthur Gooch

IPC: G05B19/418 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an industrial plant controller that controls operation of an industrial plant. In one aspect, a method comprises generating training data using an industrial plant simulation model that simulates operation of the industrial plant. The industrial plant controller is trained by a reinforcement learning technique using the training data. The industrial plant controller is configured to process an input comprising a state vector characterizing a state of the industrial plant in accordance with a plurality of industrial plant controller parameters to generate an action selection policy output that defines a control action to be performed to control the operation of the industrial plant.

公开(公告)号：US11036214B2

公开(公告)日：2021-06-15

申请号：US16710992

申请日：2019-12-11

Applicant: Andritz Inc.

Inventor： Arthur Gooch

IPC: G06N3/08 ,  G06N3/04 ,  G06N20/00 ,  G05B13/02 ,  G06N3/00 ,  G05B19/418

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an industrial plant controller that controls operation of an industrial plant. In one aspect, a method comprises generating training data using an industrial plant simulation model that simulates operation of the industrial plant. The industrial plant controller is trained by a reinforcement learning technique using the training data. The industrial plant controller is configured to process an input comprising a state vector characterizing a state of the industrial plant in accordance with a plurality of industrial plant controller parameters to generate an action selection policy output that defines a control action to be performed to control the operation of the industrial plant.