Control apparatus, control method, and computer program product

Patent metadata

Field	Value
Publication number	US-11656587-B2
Application number	US-202117412727-A
Country	US
Kind code	B2
Filing date	Aug 26, 2021
Priority date	Mar 16, 2021
Publication date	May 23, 2023
Grant date	May 23, 2023

Abstract

A control apparatus according to an embodiment includes one or more hardware processors. The processors acquire, for each of elements, pieces of input data representing first physical field of a corresponding one of the elements at a first time point. The elements are obtained by discretization of an object to be controlled. The processors calculate, for each element, second physical field of a corresponding element at a second time point after the first time point. The second physical field is calculated based on a value of an energy functional representing energy of the corresponding element. The value of the energy functional is obtained by inputting the pieces of input data into an estimation model. The processors control the object such that control quantity based on the second physical field becomes a target value.

First claim

What is claimed is:

1. A control apparatus comprising:
one or more hardware processors configured to
acquire, for each of elements, pieces of input data representing a first physical field of a corresponding one of the elements at a first time point, the elements being obtained by discretization of an analysis area as an object to be controlled wherein
the object to be controlled is an object performing self-excited oscillation or self-excited rotation for generating an excitation force;
calculate, for each of the elements, a second physical field of a corresponding one of the elements at a second time point after the first time point, the second physical field being calculated based on a value of an energy functional representing energy of the corresponding one of the elements, the value of the energy functional being obtained by inputting the pieces of input data into an estimation model; and
control the object to be controlled such that control quantity based on the second physical field becomes a target value.

2. The control apparatus according to claim 1 , wherein
the one or more hardware processors control the object to be controlled such that the control quantity indicating relation between the excitation force and physical field affecting operation of the object to be controlled becomes the target value.

3. The control apparatus according to claim 2 , wherein the target value is defined such that relation between the excitation force and the physical field is relation of inducing the self-excited oscillation or self-excited rotation with stability and robustness.

4. The control apparatus according to claim 3 , wherein the target value is expressed by a cubic function in which relation between the excitation force and the physical field is relation of inducing the self-excited oscillation or self-excited rotation with stability and robustness.

5. The control apparatus according to claim 2 , wherein
the object to be controlled is a plurality of objects performing the self-excited oscillation or the self-excited rotation; and
the target value is defined such that relation between the excitation force and the physical field is relation of inducing
the self-excited oscillation or self-excited rotation with stability and robustness, and
a pulling phenomenon through interaction of the plurality of objects.

6. The control apparatus according to claim 1 , wherein the one or more hardware processors are further configured to learn the estimation model to minimize a difference between a gradient of a value of the energy functional and correct answer data of the gradient.

7. The control apparatus according to claim 6 , wherein the one or more hardware processors learn the estimation model to minimize a difference between a value of the energy functional and correct answer data of the value of the energy functional.

8. The control apparatus according to claim 1 , wherein the estimation model is a neural network model or a hierarchical Bayesian model.

9. The control apparatus according to claim 1 , wherein, in response to input of the pieces of input data at the first time point, the estimation model outputs a value of the energy functional at the second time point and the second physical field.

10. The control apparatus according to claim 1 , wherein
the energy functional is an energy functional used for analysis of continuum dynamics, and
the energy functional represents, with respect to each of the elements, energy calculated by stored energy, loss energy, and a given workload.

11. The control apparatus according to claim 1 , wherein
the energy functional is an energy functional used for electromagnetic field analysis, and
the energy functional represents, with respect to each of the elements, energy calculated by exothermic energy and a workload caused by an inductive current.

12. The control apparatus according to claim 1 , wherein
the energy functional is an energy functional used for coupled analysis of a structure and a magnetic field, and
the energy functional represents, with respect to each of the elements, energy calculated by elastic strain energy, kinetic energy, dissipation energy, and a workload caused by an eddy current.

13. The control apparatus according to claim 1 , wherein
the energy functional is an energy functional used for analysis of a phase transition phenomenon, and
the energy functional represents, with respect to each of the elements, energy calculated by superconductive energy, energy caused by a magnetic field, and interaction energy.

14. The control apparatus according to claim 1 , wherein
the energy functional is an energy functional used for analysis of electron density and hole density, and
the energy functional represents, with respect to each of the elements, energy calculated by a chemical potential, defect energy, elastic strain energy, gradient energy, crystallographic energy, and a workload from external stress.

15. A control method implemented by a computer, the method comprising:
acquiring, for each of elements, pieces of input data representing a first physical field of a corresponding one of the elements at a first time point, the elements being obtained by discretization of an analysis area as an object to be controlled, wherein
the object to be controlled is an object performing self-excited oscillation or self-excited rotation for generating an excitation force;
calculating, for each of the elements, a second physical field of a corresponding one of the elements at a second time point after the first time point, the second physical field being calculated based on a value of an energy functional representing energy of the corresponding one of the elements, the value of the energy functional being obtained by inputting the pieces of input data into an estimation model; and
controlling the object to be controlled such that control quantity based on the second physical field becomes a target value.

16. A computer program product comprising a non-transitory computer-readable recording medium on which an executable program is recorded, the program instructing a computer to:
acquire, for each of elements, pieces of input data representing a first physical field of a corresponding one of the elements at a first time point, the elements being obtained by discretization of an analysis area as an object to be controlled, wherein
the object to be controlled is an object performing self-excited oscillation or self-excited rotation for generating an excitation force;
calculate, for each of the elements, a second physical field of a corresponding one of the elements at a second time point after the first time point, the second physical field being calculated based on a value of an energy functional representing energy of the corresponding one of the elements, the value of the energy functional being obtained by inputting the pieces of input data into an estimation model; and
control the object to be controlled such that control quantity based on the second physical field becomes a target value.

17. A control apparatus comprising:
one or more hardware processors configured to
acquire a first physical field of an element of an object to be controlled at a first time point by discretization of an analysis area of each element of the object to be controlled, the object to be controlled performing self-excited oscillation or self-excited rotation for generating an excitation force;
calculate, based on the first physical field, a second physical field of the element of the object to be controlled at a second time po

Assignees

• Toshiba Kk

Inventors

• Hirohata Kenji
• Ooga Junichiro

Classifications

• G05B17/02 Primary

  electric · CPC title