Method for operating a linear compressor

US10830230B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10830230-B2
Application numberUS-201715397770-A
CountryUS
Kind codeB2
Filing dateJan 4, 2017
Priority dateJan 4, 2017
Publication dateNov 10, 2020
Grant dateNov 10, 2020

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Abstract

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A method for operating a linear compressor includes establishing a set of predictors, and establishing a model for an estimated head clearance of the linear compressor with the set of predictors. Coefficients of the model for the estimated head clearance of the linear compressor may also be established. The model for the estimated head clearance of the linear compressor may be used to calculate an estimated head clearance during operation of the linear compressor.

First claim

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What is claimed is: 1. A method for operating a linear compressor, comprising: supplying a motor of the linear compressor with a time varying voltage having a peak motor voltage and an excitation frequency; measuring a peak motor current of the linear compressor while the time varying voltage is supplied to the motor of the linear compressor; determining an observed minimum velocity of the motor of the linear compressor and an observed stroke length of the motor of the linear compressor, wherein a set of predictors comprises the peak motor voltage, the excitation frequency, the peak motor current, the observed minimum velocity and the observed stroke length; removing redundant predictors from the set of predictors in order to establish a reduced set of predictors; establishing a model for an estimated head clearance of the linear compressor with the reduced set of predictors, the model for the estimated head clearance of the linear compressor is a linear combination of each predictor of the reduced set of predictors with each predictor from the reduced set of predictors being multiplied by a respective coefficient; establishing a value for each coefficient of the model for the estimated head clearance of the linear compressor; and saving the coefficients and the model for the estimated head clearance of the linear compressor in a memory of a controller such that the controller is configured operable to adjust operation of the linear compressor towards a desired head clearance using the model for the estimated head clearance of the linear compressor, wherein the linear compressor does not have a position sensor for detecting a position of a piston of the linear compressor. 2. The method of claim 1 , wherein determining the observed minimum velocity of the motor of the linear compressor and the observed stroke length of the motor of the linear compressor comprises: estimating a back-EMF of the motor of the linear compressor using an electrical dynamic model for the motor of the linear compressor and a robust integral of the sign of the error feedback; determining an observed velocity of the motor of the linear compressor based at least in part on the back-EMF of the motor; and calculating the observed stroke length of the motor of the linear compressor based at least in part on the observed velocity of the motor. 3. The method of claim 2 , wherein the electrical dynamic model for the motor comprises di dt = v a L i - r i ⁢ i L i - α ⁢ ⁢ x . L i where v a is a voltage across the motor of the linear compressor; r i is a resistance of the motor of the linear compressor; i is a current through the motor of the linear compressor; α is a motor force constant; {dot over (x)} is a velocity of the motor of the linear compressor; t is time; and L i is an inductance of the motor of the linear compressor. 4. The method of claim 3 , wherein estimating the back-EMF of the motor of the linear compressor using the robust integral of the sign of the error feedback comprises solving {circumflex over (f)} =( K 1 +1) e ( t )+∫ t 0 t [( K 1 +1) e (σ)+ K 2 sgn( e (σ))] d σ−( K 1 +1) e ( t 0 ) where {circumflex over (f)} is an estimated back-EMF of the motor of the linear compressor; K 1 and K 2 are real, positive gains; e is an error given as {circumflex over (ι)}−i; {circumflex over (ι)} is an observed current through the motor of the linear compressor; e(σ) is e as a function of σ; e(t) is e as a function of time; and e(t 0 ) is e at time t 0 . 5. The method of claim 1 , further comprising: establishing the desired head clearance of the linear compressor; calculating the estimated head clearance of the linear compressor with the model for the estimated head clearance of the linear compressor; and adjusting the peak motor current of the linear compressor in order to reduce a difference between the desired head clearance of the linear compressor and the estimated head clearance of the linear compressor. 6. The method of claim 5 , wherein the motor of the linear compressor is sealed within a hermetic shell prior to the desired head clearance is established, the estimated head clearance is calculated, and the peak motor current is adjusted. 7. The method of claim 5 , wherein the controller establishes the desired head clearance, calculates the estimated head clearance, and adjusts the peak motor current. 8. The method of claim 1 , wherein the set of predictors further comprises at least one product of any two of the peak motor voltage, the excitation frequency, the peak motor current, the observed minimum velocity and the observed stroke length. 9. The method of claim 1 , wherein the set of predictors further comprises one or more of the square of the peak motor voltage, the square of the excitation frequency, the square of the peak motor current, the square of the observed minimum velocity and the square of the observed stroke length. 10. The method of claim 1 , wherein the set of predictors further comprises: each product of two of the peak motor voltage; the excitation frequency, the peak motor current, the observed minimum velocity and the observed stroke length; and each respective square of the peak motor voltage, the excitation frequency, the peak motor current, the observed minimum velocity and the observed stroke length. 11. The method of claim 1 , wherein the reduced set of predictors further comprises a product of the peak motor voltage and the excitation frequency, a product of the peak motor voltage and the observed stroke length; and a product of the excitation frequency and the observed minimum velocity. 12. The method of claim 1 , wherein establishing the model for the estimated head clearance comprises conducting a best subsets regression with the reduced set of predictors. 13. The method of claim 1 , wherein establishing the coefficients of the model for the estimated head clearance comprises establishing the coefficients of the model for the estimated head clearance with a least-squares method. 14. A method for operating a linear compressor, comprising: supplying a motor of the linear compressor with a time varying voltage having a peak motor voltage and an excitation frequency; measuring a peak motor current of the linear compressor while the time varying voltage is supplied to the motor of the linear compressor; determining an observed minimum velocity of the motor of the linear compressor and an observed stroke length of the motor of the linear compressor; establishing a set

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Classifications

  • Casings · CPC title

  • Motor parameters · CPC title

  • and making use of computers · CPC title

  • F04B49/16Primary

    by adjusting the capacity of dead spaces of working chambers · CPC title

  • the means being electric · CPC title

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What does patent US10830230B2 cover?
A method for operating a linear compressor includes establishing a set of predictors, and establishing a model for an estimated head clearance of the linear compressor with the set of predictors. Coefficients of the model for the estimated head clearance of the linear compressor may also be established. The model for the estimated head clearance of the linear compressor may be used to calculate…
Who is the assignee on this patent?
Haier Us Appliance Solutions Inc, Univ Louisville Res Found Inc
What technology area does this patent fall under?
Primary CPC classification F04B49/16. Mapped technology areas include Mechanical Engineering.
When was this patent published?
Publication date Tue Nov 10 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).