NEURAL NETWORK BASED FAST MODEL PREDICTIVE CONTROL FOR POWER REGULATION

Number of patents in Portfolio can not be more than 2000

United States of America

APP PUB NO 20250108724A1
SERIAL NO

18478084

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Abstract

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A power system includes a power source configured to output electrical power, a power converter configured to convert the electrical power into a converted power, and a power bus configured to deliver the converted power to a power load connected to the power bus. The power system further includes a controller that implements a neural network (NN) trained to perform a NN-based model predictive control (NNMPC). The controller utilizes the NNMPC to obtain at least one learned control input for power regulation for a current system state and power load measurement of the power load in real-time, and to perform an output action that regulates the power system based on the at least one learned control input obtained by the NNMPC.

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Patent Owner(s)

Patent OwnerAddress
RTX CORPORATION10 FARM SPRINGS RD FARMINGTON CT 06032

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Ilak, Milos Hoboken, US 6 0
Kumar, Pratyush East Hartford, US 49 290
Pollock, Daniel T West Hartford, US 2 0
Riar, Baljit Rocky Hill, US 3 0

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