US 11,940,787 B2
Control device, method, program, and system using machine learning technology
Junichi Idesawa, Tokyo (JP); and Shimon Sugawara, Tokyo (JP)
Assigned to AISing LTD., Tokyo (JP)
Appl. No. 17/639,956
Filed by AISing LTD., Tokyo (JP)
PCT Filed Oct. 21, 2019, PCT No. PCT/JP2019/041362
§ 371(c)(1), (2) Date Mar. 3, 2022,
PCT Pub. No. WO2021/079411, PCT Pub. Date Apr. 29, 2021.
Prior Publication US 2022/0326661 A1, Oct. 13, 2022
Int. Cl. G05B 13/02 (2006.01); G05B 6/02 (2006.01); G05B 13/04 (2006.01)
CPC G05B 6/02 (2013.01) [G05B 13/0265 (2013.01); G05B 13/048 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A control device configured to perform feedback control on a predetermined device, the control device comprising:
a first controller configured to generate a first operation amount for the device on a basis of an output fed back from the device and a target value;
a predicted output generator including a learned model which is machine learned so as to generate a predicted output from the device on a basis of the output fed back from the device and the first operation amount;
a second controller configured to generate a second operation amount for the device on a basis of the predicted output and the target value;
processor circuitry configured to generate an integrated operation amount which is an operation amount for the device on a basis of the first operation amount and the second operation amount; and
a storage configured to, in a case where the second operation amount is subjected to invalidation processing, store the first operation amount, the output fed back from the device and an output from the device corresponding to the integrated operation amount as machine learning data, and
wherein the first controller is configured to perform one of P control, PI control, PD control or PID control thereby providing the first operation amount, and
wherein the second controller is configured to perform one of P control, PI control, PD control or PID control thereby providing the second operation amount.