Method and system for formulating an energy-saving strategy for semi-automatic production line based on model predictive control

US2024255902A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2024255902-A1
Application numberUS-202418430606-A
CountryUS
Kind codeA1
Filing dateFeb 1, 2024
Priority dateFeb 16, 2023
Publication dateAug 1, 2024
Grant date

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Abstract

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An energy-saving strategy formulation method for a semi-automatic production line based on model predictive control is performed as follows. max-plus algebra model is constructed, based on which an optimization objective function with the WIP products as discrete elements and sleep start moment and sleep end moment of the automated device as control variables is established. A first unoptimized WIP product is substituted into the optimization objective function, and the optimization objective function is solved to obtain an optimal sequence, in which a first set of values is output as optimization result. Whether all WIP products have been optimized is determined, and if yes, an energy-saving strategy is generated and used to control the automated device, otherwise, the optimization result is treated as disturbance information to be incorporated into the modeling. An energy-saving strategy formulation system is also provided.

First claim

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What is claimed is: 1 . An energy-saving strategy formulation method for a semi-automatic production line based on model predictive control, comprising: (S 1 ) constructing a max-plus algebra model of the semi-automatic production line, wherein the semi-automatic production line comprises work-in-process (WIP) products and an automated device; and the max-plus algebra model is a production line model without controlling start and the stop of the automated device; (S 2 ) establishing, based on the max-plus algebra model, an optimization objective function with the WIP products as discrete elements, and a sleep start moment and a sleep end moment of the automated device as control variables; (S 3 ) substituting a first unoptimized WIP product among the WIP products into the optimization objective function, and solving the optimization objective function to obtain an optimal sequence comprising the sleep start moment and the sleep end moment of the automated device; and outputting a first set of values in the optimal sequence as an optimization result for the first unoptimized WIP product with respect to the automated device; (S 4 ) determining whether all of the WIP products in the semi-automatic production line have been optimized, if yes, proceeding to step (S 5 ); otherwise, treating the optimization result as a disturbance information, and returning to step (S 1 ) to incorporate the disturbance information into the construction of the max-plus algebra model; (S 5 ) generating an energy-saving strategy based on optimization results corresponding to all of the WIP products; and (S 6 ) controlling the automated device based on the energy-saving strategy. 2 . The energy-saving strategy formulation method of claim 1 , wherein in step (S 2 ), the optimization objective function satisfies the following formulas (1) to (4): min ⁢ J = K 1 · J 1 + K 2 · J 2 ; ( 1 ) J 1 = ∑ i = 1 N p [ T l ( k + i ) - T s ( k + i | k ) ] ; ( 2 ) J 2 = - ∑ i = 1 N p ⁢ ∑ s = 1 M ⁢ { u k + i s - [ x s ( k + i - 1 | k ) + p s

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  • using a predictor · CPC title

  • G05B13/047Primary

    the criterion being a time optimal performance criterion · CPC title

  • Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier · CPC title

  • G05B13/042Primary

    in which a parameter or coefficient is automatically adjusted to optimise the performance · CPC title

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What does patent US2024255902A1 cover?
An energy-saving strategy formulation method for a semi-automatic production line based on model predictive control is performed as follows. max-plus algebra model is constructed, based on which an optimization objective function with the WIP products as discrete elements and sleep start moment and sleep end moment of the automated device as control variables is established. A first unoptimized…
Who is the assignee on this patent?
Univ Guangdong Technology
What technology area does this patent fall under?
Primary CPC classification G05B13/047. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Aug 01 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).