System and method for motor parameter estimation

• US 8,676,356 B2
• Filed: 01/09/2009
• Issued: 03/18/2014
• Est. Priority Date: 01/09/2009
• Status: Active Grant

• Current Assignee: Eaton Intelligent Power Limited (Eaton Corporation PLC.)
• Original Assignee: Eaton Corp. (Wisconsin) (Eaton Corporation PLC.)
• Inventors: Lu, Bin, Yan, Ting
• Primary Examiner(s): Padmanabhan, Kavita
• Assistant Examiner(s): Everett, Christopher E
• Application Number:
  US12/351,582
• Publication Number:
  US 20100179692A1
• Time in Patent Office: 1,894 Days
• Field of Search: 700/40, 700/44, 700/48, 700/52, 700/108, 700/109, 702179-180
• US Class Current: 700/48
• CPC Class Codes: H02P 23/0077 Characterised by the use of a particular software algorithm

Abstract

A system and method for determining unknown values of certain motor parameters includes a motor input device connectable to an electric motor having associated therewith values for known motor parameters and an unknown value of at least one motor parameter. The motor input device includes a processing unit that receives a first input from the electric motor comprising values for the known motor parameters for the electric motor and receive a second input comprising motor data on a plurality of reference motors, including values for motor parameters corresponding to the known motor parameters of the electric motor and values for motor parameters corresponding to the at least one unknown motor parameter value of the electric motor. The processor determines the unknown value of the at least one motor parameter from the first input and the second input and determines a motor management strategy for the electric motor based thereon.

Claims

1. A motor management system comprising:

a motor input device connectable to an electric motor having associated therewith values for a plurality of known motor parameters and an unknown value of at least one motor parameter, the motor input device including therein a processing unit configured to;

receive a first input from the electric motor comprising the values for the plurality of known motor parameters for the electric motor;

receive a second input comprising motor data on a plurality of reference motors that are different motors than the electric motor, the motor data for the plurality of reference motors comprising values for motor parameters corresponding to the plurality of known motor parameters of the electric motor and values for motor parameters corresponding to the at least one unknown motor parameter value of the electric motor;

determine the unknown value of the at least one motor parameter for the electric motor from the first input and the second input, such that the unknown value of the at least one motor parameter for the electric motor is determined from values of motor parameters from one or more of the plurality of reference motors corresponding to the plurality of known motor parameters of the electric motor and values of motor parameters from one or more of the plurality of reference motors of the same type as the at least one unknown motor parameter value of the electric motor; and

determine a motor management strategy for the electric motor based on the determined value of the at least one motor parameter.

2. The motor management system of claim 1 wherein the motor input device comprises a motor control device configured to determine an operational setting of the electric motor based on the determined value of the at least one motor parameter.

3. The motor management system of claim 1 wherein the motor input device comprises a motor control device configured to perform a motor status monitoring of the electric motor based on the determined value of the at least one motor parameter.

4. The motor management system of claim 1 wherein the processing unit is further configured to apply a neural network to the motor parameter values in the first and second inputs to determine the unknown value of the at least one motor parameter for the electric motor.

5. The motor management system of claim 1 wherein the processing unit is further configured to:

expand the motor parameter values in the first and second inputs into a set of data fields by way of a genetic algorithm; and

apply a neural network to the set of data fields to determine the unknown value of the at least one motor parameter for the electric motor.

6. The motor management system of claim 1 wherein the processing unit is further configured to:

form a motor group from the electric motor and a portion of the plurality of reference motors;

identify reference motors in the motor group having motor data that includes the values for motor parameters corresponding to the at least one unknown motor parameter value of the electric motor; and

calculate normalized multi-dimensional distances for a selected set of motor parameters between the electric motor and the identified reference motors to determine the unknown value of the at least one motor parameter for the electric motor.

7. The motor management system of claim 1 wherein the processing unit is further configured to:

store a collection of motor data including therein the motor data on the plurality of reference motors; and

retrieve the motor data from the stored collection of motor data to receive the second input.

8. The motor management system of claim 1 wherein the processing unit is further configured to access a remote collection of motor data including therein the motor data on the plurality of reference motors in order to receive the second input.

9. The motor management system of claim 1 wherein the unknown motor parameter comprises at least one of:

rated voltage;

rated current;

rated speed;

enclosure;

NEMA design code;

stator slot number;

rotor bar number;

motor rated-load, partial-load efficiencies and power factors;

locked-rotor torque, breakdown torque, and full-load torque;

no-load current, and locked-rotor current;

weight;

price; and

stator resistance at room temperature.

10. The motor management system of claim 1 wherein the known motor parameters of the electric motors comprise at least one of motor design parameters and motor performance data.

11. The motor management system of claim 10 wherein the at least one of the motor design parameters and motor performance data comprises motor nameplate data.

12. The motor management system of claim 1 wherein the processing unit is further configured to select one or more motors from the plurality of reference motors having motor parameter values similar to values of the plurality of known motor parameters of the electric motor.

13. A method for operating a target electric motor having a plurality of known motor parameter values and an unknown motor parameter value, the method comprising:

inputting the plurality of known motor parameters values for the target electric motor into a motor management system;

accessing from the motor management system, a collection of motor data from a plurality of reference motors that are different motors than the target electric motor, the motor data for each of the plurality of reference motors comprising motor parameter values corresponding to the plurality of known motor parameters for the target electric motor and a motor parameter value corresponding to the unknown motor parameter value for the target electric motor;

determining in the motor management system the unknown motor parameter value for the target electric motor based on the plurality of known motor parameter values for the target electric motor and the motor data on the plurality of reference motors, including using from the motor data a value of a motor parameter for one or more of the plurality of reference motors that is the same parameter as the unknown motor parameter for the target electric motor; and

either controlling operation of the target electric motor or monitoring status of the target electric motor based on the determined motor design parameter.

14. The method of claim 13 wherein controlling operation of the target electric motor comprises setting operational parameters in the target electric motor based on the determined parameter.

15. The method of claim 13 wherein monitoring status of the target electric motor comprises detecting a fault condition in the electric motor based on the determined parameter.

16. The method of claim 13 wherein accessing the collection of motor data comprises one of accessing a collection of motor data stored on the motor management system and remotely accessing a collection of motor data.

17. The method of claim 13 wherein determining the unknown motor parameter value for the target electric motor comprises one of:

determining the unknown motor parameter value by way of an artificial neural network; and

determining the unknown motor parameter value by way of a proximity-based algorithm.

18. The method of claim 13 wherein the unknown motor parameter value comprises a value for at least one of rated voltage;

rated current;

rated speed;

enclosure;

NEMA design code;

stator slot number;

rotor bar number;

motor rated-load, partial-load efficiencies and power factors;

locked-rotor torque, breakdown torque, and full-load torque;

no-load current, and locked-rotor current;

weight;

price; and

stator resistance at room temperature.

19. The method of claim 13 wherein inputting the plurality of known motor parameters values comprises inputting motor nameplate data for the target electric motor into the motor management system.

20. The method of claim 13 further comprising:

forming a motor group from the target electric motor and a portion of the plurality of reference motors;

identifying reference motors in the motor group having motor data that includes the values for motor parameters corresponding to the at least one unknown motor parameter value of the target electric motor; and

calculating normalized multi-dimensional distances for a selected set of motor parameters between the target electric motor and the identified reference motors to determine the unknown value of the at least one motor parameter for the target electric motor.

21. A motor input device for providing motor data to an electric motor system, the motor input device programmed to:

retrieve partial motor data for a target motor;

retrieve at least one motor data set for at least one reference motor similar to the target motor but that is not the same motor as the target motor, the at least one motor data set including motor parameter values corresponding to a plurality of known motor parameters for the target motor included in the retrieved partial motor data and also including a value for a motor parameter for which a value of the same said motor parameter is not known for the target motor;

analyze the partial motor data for the target motor and the at least one motor data set for the at least one reference motor similar to the target motor; and

determine the unknown motor parameter value for the target motor based on the analysis of the partial motor data for the target motor and the at least one motor data set for the at least one reference motor similar to the target motor.

22. The motor input device of claim 21 further programmed to determine an operational setting of the electric motor system based on the determined value of the motor parameter.

23. The motor input device of claim 21 further programmed to perform a motor status monitoring of the electric motor based on the determined value of the motor parameter.

24. The motor input device of claim 21 wherein the unknown value of the motor parameter value comprises a value for at least one of rated voltage;

rated current;

rated speed;

enclosure;

NEMA design code;

stator slot number;

rotor bar number;

motor rated-load, partial-load efficiencies and power factors;

locked-rotor torque, breakdown torque, and full-load torque;

no-load current, and locked-rotor current;

weight;

price; and

stator resistance at room temperature.

25. The motor input device of claim 21 further programmed to access a collection of motor data comprising motor data sets for each of a plurality of reference motors.