Combined proportional plus integral (PI) and neural network (nN) controller
First Claim
1. A neural network controller in parallel with a proportional-plus-integral feedback controller in a control system, the system comprising:
- at least one input port of the neural network controller for receiving an input signal representing a condition of a process;
a first set of data comprising a plurality of learned output values of the neural network controller obtained during a training period thereof using a plurality of first inputs representing a plurality of conditions of said process; and
in operation, the neural network controller to contribute to a current output, Oτ
, of the proportional-plus-integral feedback controller upon detection of at least one triggering event connected with a condition deviation represented by a change in said input signal at a time, τ
, otherwise said neural network controller does not contribute to said current output, Oτ
;
wherein said operation of the neural network controller in communication with the proportional-plus-integral feedback controller, further comprises;
(a) upon detection of said triggering event at said time, τ
, a respective one of said learned output values, ONN, of said first set of data corresponding with said condition deviation is added to the proportional-plus-integral feedback controller current output, Oτ
, and at said time, τ
, a prior control output value, Oτ
−
1, of the proportional-plus-integral feedback controller associated with a prior time, τ
−
1, does not contribute to said current output Oτ
; and
(b) the proportional-plus-integral feedback controller functioning with a proportional gain constant, Kp, and an integral gain constant, Ki, that remain unchanged during said operation.
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Abstract
A neural network controller in parallel with a proportional-plus-integral (PI) feedback controller in a control system. At least one input port of the neural network for receiving an input signal representing a condition of a process is included. A first set of data is obtained that includes a plurality of output values of the neural network obtained during a training period thereof using a plurality of first inputs representing a plurality of conditions of the process. The process/plant condition signals generally define the process/plant, and may include one set-point as well as signals generated using measured systems variables/parameters. In operation, the neural network contributes to an output of the PI controller only upon detection of at least one triggering event, at which time a value of the first set of data corresponding with the condition deviation is added-in thus, contributing to the proportional-plus-integral feedback controller. The triggering event can be characterized as (a) a change in any one of the input signals greater-than a preselected amount, or (b) a detectable process condition deviation greater-than a preselected magnitude, for which an adjustment is needed to the process/plant being controlled. Also a method for controlling a process with a neural network controller operating in parallel with a IP controller is included.
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Citations
20 Claims
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1. A neural network controller in parallel with a proportional-plus-integral feedback controller in a control system, the system comprising:
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at least one input port of the neural network controller for receiving an input signal representing a condition of a process; a first set of data comprising a plurality of learned output values of the neural network controller obtained during a training period thereof using a plurality of first inputs representing a plurality of conditions of said process; and in operation, the neural network controller to contribute to a current output, Oτ
, of the proportional-plus-integral feedback controller upon detection of at least one triggering event connected with a condition deviation represented by a change in said input signal at a time, τ
, otherwise said neural network controller does not contribute to said current output, Oτ
;wherein said operation of the neural network controller in communication with the proportional-plus-integral feedback controller, further comprises; (a) upon detection of said triggering event at said time, τ
, a respective one of said learned output values, ONN, of said first set of data corresponding with said condition deviation is added to the proportional-plus-integral feedback controller current output, Oτ
, and at said time, τ
, a prior control output value, Oτ
−
1, of the proportional-plus-integral feedback controller associated with a prior time, τ
−
1, does not contribute to said current output Oτ
; and(b) the proportional-plus-integral feedback controller functioning with a proportional gain constant, Kp, and an integral gain constant, Ki, that remain unchanged during said operation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A neural network controller in parallel with a proportional-plus-integral feedback controller in a control system, the system comprising:
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a plurality of input ports of the neural network controller, each said input pod for receiving a respective input signal representing a respective condition of a process; a first set of data comprising a plurality of learned output values of the neural network controller obtained during a training period thereof using a plurality of first inputs representing a plurality of conditions of said process; and in operation, the neural network controller to contribute to a current output, Oτ
, of the proportional-plus-integral feedback controller upon detection of at least one triggering event, said event comprising a change in any one of said respective input signals at a time, τ
, greater-than a preselected amount indicating a condition deviation;wherein said operation of the neural network controller in communication with the proportional-plus-integral feedback controller, further comprises; (a) upon said detection at said time, τ
, a respective one of said learned output values, ONN, of said first set of data corresponding with said condition deviation is added to the proportional-plus-integral feedback controller current output Oτ
, and at said time, τ
, a prior control output value, Oτ
−
1, of the proportional-plus-integral feedback controller associated with a prior time, τ
−
1, does not contribute to said current output, Oτ
;(b) otherwise, the system operates with the neural network controller making no contribution to the proportional-plus-integral feedback controller current output Oτ
; and(c) the proportional-plus-integral feedback controller functioning with a proportional gain constant Kp and an integral gain constant Ki that remain unchanged during said operation. - View Dependent Claims (12, 13, 14)
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15. A method for controlling a process with a neural network controller operating in parallel with a proportional-plus-integral feedback controller, the method comprising the steps of:
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generating a first set of data comprising a plurality of learned output values of the neural network controller obtained during a training period thereof using a plurality of first inputs representing a plurality of conditions of a process; receiving, at each of a plurality of input ports of the neural network controller, an input signal representing a respective condition of said process; and the neural network controller operating in parallel with the proportional-plus-integral feedback controller to contribute to a current output, Oτ
, of the proportional-plus-integral feedback controller upon detection of at least one triggering event, said triggering event comprising a change in any one of said respective input signals at a time, τ
, greater-than a preselected amount indicating a condition deviation;wherein the step of operating further comprises; (a) upon said detection at said time, τ
, a respective one of said learned output values, ONN, of said first set of data corresponding with said condition deviation is added to the proportional-plus-integral feedback controller current output, Oτ
, and at said time, τ
, a prior control output value, Oτ
−
1, of the proportional-plus-integral feedback controller associated with a prior time, τ
−
1, does not contribute to said current output Oτ
; and(b) the proportional-plus-integral feedback controller functioning with a proportional gain constant, Kp, and an integral gain constant, Ki, that remain unchanged during the operating. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification