Motor controller for electric blower motors
US-2019326840-A1 · Oct 24, 2019 · US
US10148210B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10148210-B2 |
| Application number | US-201715605161-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 25, 2017 |
| Priority date | May 25, 2016 |
| Publication date | Dec 4, 2018 |
| Grant date | Dec 4, 2018 |
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Methods and systems of optimizing efficiency of a motor drive or generator are provided. The methods include measuring data corresponding to input power and output power of a motor drive or generator at a control parameter and different load values. The methods include generating a three-dimensional surface model based on the measured data. The three-dimensional surface model can estimate an efficiency of the motor drive or generator at the control parameter and at unmeasured load values. The methods can include determining optimal efficiency of the motor drive or generator at the different load values and the unmeasured load values based on the three-dimensional surface model.
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The invention claimed is: 1. A method of optimizing operation efficiency of a motor drive or generator, comprising: measuring data corresponding to input power and output power of a motor drive or generator at a control parameter and different load values; generating a three-dimensional surface model based on the measured data, the three-dimensional surface model estimating an efficiency of the motor drive or generator at the control parameter and at unmeasured load values; determining optimal efficiency of the motor drive or generator for the different load values and the unmeasured load values based on the three-dimensional surface model; and adjusting operation of the motor drive or generator in real-time to perform at setpoint configurations in response to load values based on the three-dimensional surface model. 2. The method of claim 1 , wherein the control parameter is a voltage-to-frequency (V/f) ratio. 3. The method of claim 1 , wherein the method is applied to a motor drive and wherein different load values correspond to loads imparted by a dynamometer load. 4. The method of claim 1 , wherein the method is applied to a motor drive and wherein different load values correspond to loads imparted by a torque load. 5. The method of claim 1 , comprising measuring power loss of the motor drive or generator at the control parameter and the different load values. 6. The method of claim 5 , comprising locating a convex surface corresponding to minimum power loss of the motor drive or generator in the three-dimensional surface model. 7. The method of claim 6 , wherein the convex surface corresponding to the minimum power loss corresponds to the optimal efficiency of the motor drive or generator. 8. The method of claim 1 , wherein the three-dimensional surface model is a behavior model of the motor drive or generator. 9. The method of claim 1 , wherein generating the three-dimensional surface model comprises modeling the three-dimensional surface model by applying a quadratic and linear locally weighted scatterplot smoothing (LOWESS) on the measured data for the motor drive or generator under stator flux weakening operation. 10. The method of claim 1 , wherein generating the three-dimensional surface model comprises applying a cubic interpolation on the measured data for the motor drive or generator under a slightly weakened flux operation. 11. The method of claim 10 , wherein the three-dimensional surface model generated with the cubic interpolation results in a maximum-efficiency stator flux of the motor drive or generator. 12. The method of claim 1 , wherein generating the three-dimensional surface model comprises applying a polynomial interpolation on the measured data for the motor drive or generator under a rated flux operation. 13. The method of claim 1 , wherein generating the three-dimensional surface model comprises applying a linear interpolation on the measured data. 14. A system of motor drive or generator optimization, comprising: a motor drive or generator; a database configured to receive and store data corresponding to input power and output power of the motor drive or generator at a control parameter and different load values; and a processing device configured to: measure the data corresponding to the input power and the output power of the motor drive or generator at the control parameter and the different load values; generate a three-dimensional surface model based on the measured data, the three-dimensional surface model estimating an efficiency of the motor drive or generator at the control parameter and at unmeasured load values; determine optimal efficiency of the motor drive or generator for the different load values and the unmeasured load values based on the three-dimensional surface model; and adjust operation of the motor drive or generator in real-time to perform at setpoint configurations in response to load values based on the three-dimensional surface model. 15. A non-transitory computer-readable medium storing instructions, wherein execution of the instructions by a processing device causes the processing device to implement a method of optimizing operation efficiency of a motor drive or generator, comprising: measuring data corresponding to input power and output power of a motor drive or generator at a control parameter and different load values; generating a three-dimensional surface model based on the measured data, the three-dimensional surface model estimating an efficiency of the motor drive or generator at the control parameter and at unmeasured load values; determining optimal efficiency of the motor drive or generator for the different load values and the unmeasured load values based on the three-dimensional surface model; and adjusting operation of the motor drive or generator in real-time to perform at setpoint configurations in response to load values based on the three-dimensional surface model.
V/F converter, wherein the voltage is controlled proportionally with the frequency · CPC title
Control strategies in general, e.g. linear type, e.g. P, PI, PID, using robust control · CPC title
Model reference adaptation, e.g. MRAS or MRAC, useful for control or parameter estimation · CPC title
specially adapted for optimising the efficiency at low load · CPC title
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