[특허]Differential process controller using artificial neural networks

Differential process controller using artificial neural networks 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06F-015/18 G05B-023/02
출원번호	US-0011568 (1993-02-01)
발명자 / 주소	Bose Chinmoy B. (Green Brook NJ)
출원인 / 주소	AT&T Corp. (Murray Hill NJ 02)
인용정보	피인용 횟수 : 49 인용 특허 : 0

초록 ▼

Control of a process in accordance with both optimal process values (td), which may be fixed or slowly varying, and actual process output values (tr-1) generated during a previous interval (r-1) is accomplished by a differential process controller (10). The controller (10) employs two artificial neural networks (36 and 38), each generating a separate intermediate control vector for controlling the process in accordance with a separate one of the vectors td and tr-1. A first summing amplifier (42) computes the difference between the intermediate control vectors and generates a differential control vector which varies accordingly. A second summing amplifier (44) sums the differential control vector, together with the output signal of the summing amplifier generated during the immediately previous interval (r-1), to generate a control signal cr for controlling the process.

대표청구항 ▼

A differential process controller for controlling a process at a time r in accordance with both an optimal process output value vector (td), whose components represent desired process values, and an actual process value vector (tr-1), whose components represent actual process values measured during an immediately previous interval (r-1), comprising: first processing means supplied with the optimal process output value vector td for generating a first vector varying in accordance therewith; a first artificial neural network for processing the first vector in accordance with past actual process values to yield a first intermediate control vector for controlling the process; second processing means supplied with the actual process value vector tr-1 for generating a second vector varying in accordance therewith; a second artificial neural network for processing the second vector in accordance with past actual process values to yield a second intermediate control vector for controlling the process; a first summing amplifier for producing an output vector varying in accordance with the difference between the first and second intermediate control vectors; a second summing amplifier having a first input supplied with the output vector of the first summing amplifier, and a second input, for generating a control vector for controlling the process in accordance with the sum of the signals at the first and second summing amplifier inputs; and a store and forward means supplied with the control vector from the second summing amplifier for storing said control vector and thereafter supplying said control vector to said second input of said second summing amplifier after a prescribed interval.

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