# Method and system for determining induction motor speed

## Abstract

A non-linear, semi-parametric neural network-based adaptive filter is utilized to determine the dynamic speed of a rotating rotor within an induction motor, without the explicit use of a speed sensor, such as a tachometer, is disclosed. The neural network-based filter is developed using actual motor current measurements, voltage measurements, and nameplate information. The neural network-based adaptive filter is trained using an estimated speed calculator derived from the actual current and voltage measurements. The neural network-based adaptive filter uses voltage and current measurements to determine the instantaneous speed of a rotating rotor. The neural network-based adaptive filter also includes an on-line adaptation scheme that permits the filter to be readily adapted for new operating conditions during operations.

- Inventors:

- Publication Date:

- Research Org.:
- Texas A And M University, College Station, TX (United States)

- Sponsoring Org.:
- USDOE

- OSTI Identifier:
- 1174794

- Patent Number(s):
- 6,713,978

- Application Number:
- 10/197,881

- Assignee:
- Texas A And M University (College Station, TX)

- DOE Contract Number:
- FG07-98ID13641

- Resource Type:
- Patent

- Country of Publication:
- United States

- Language:
- English

- Subject:
- 42 ENGINEERING

### Citation Formats

```
Parlos, Alexander G., and Bharadwaj, Raj M.
```*Method and system for determining induction motor speed*. United States: N. p., 2004.
Web.

```
Parlos, Alexander G., & Bharadwaj, Raj M.
```*Method and system for determining induction motor speed*. United States.

```
Parlos, Alexander G., and Bharadwaj, Raj M. Tue .
"Method and system for determining induction motor speed". United States. https://www.osti.gov/servlets/purl/1174794.
```

```
@article{osti_1174794,
```

title = {Method and system for determining induction motor speed},

author = {Parlos, Alexander G. and Bharadwaj, Raj M.},

abstractNote = {A non-linear, semi-parametric neural network-based adaptive filter is utilized to determine the dynamic speed of a rotating rotor within an induction motor, without the explicit use of a speed sensor, such as a tachometer, is disclosed. The neural network-based filter is developed using actual motor current measurements, voltage measurements, and nameplate information. The neural network-based adaptive filter is trained using an estimated speed calculator derived from the actual current and voltage measurements. The neural network-based adaptive filter uses voltage and current measurements to determine the instantaneous speed of a rotating rotor. The neural network-based adaptive filter also includes an on-line adaptation scheme that permits the filter to be readily adapted for new operating conditions during operations.},

doi = {},

journal = {},

number = ,

volume = ,

place = {United States},

year = {2004},

month = {3}

}