An Intelligent Decision Support Tool for a Travelling Wave Ultrasonic Motor Based on k-Nearest Neighbor Algorithm

Author

Sagiroglu, Seref ; Kahraman, H. Tolga ; Yesilbudak, Mehmet ; Colak, Ilhami

Author_Institution

Dept. of Comput. Eng., Gazi Univ., Ankara, Turkey

Volume

2

fYear

2011

fDate

18-21 Dec. 2011

Firstpage

308

Lastpage

312

Abstract

Driving frequency, amplitude and phase difference of two-phase sinusoidal voltages are the input parameters which have influence on speed stability of travelling wave ultrasonic motors (TWUSMs).These parameters are also time-varying due to the variations in operating temperature. In addition, a complete mathematical model of the TWUSM has not been derived yet. Owing to these reasons, a machine learning approach is required for determining the compatibility of operating parameters related to speed stability of TWUSMs. For this purpose, an intelligent decision support tool has been designed for TWUSMs in this study. The input parameters such as driving frequency, amplitude, phase difference of two-phase sinusoidal voltages and operating temperature were evaluated by the k-nearest neighbor algorithm in the decision support tool. The results have shown that the proposed tool provides effective results in the compatibility determination of operating parameters related to speed stability of TWUSMs.

Keywords

angular velocity control; decision support systems; electric machine analysis computing; learning (artificial intelligence); stability; ultrasonic motors; TWUSM; driving amplitude; driving frequency; intelligent decision support tool; k-nearest neighbor algorithm; machine learning approach; mathematical model; phase difference; speed stability; travelling wave ultrasonic motor; two-phase sinusoidal voltage; Acoustics; Algorithm design and analysis; Classification algorithms; Measurement; Stability analysis; Thermal stability; Training; Travelling wave ultrasonic motor; intelligent decision support tool; k-nearest neighbor algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Applications and Workshops (ICMLA), 2011 10th International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

978-1-4577-2134-2

Type

conf

DOI

10.1109/ICMLA.2011.33

Filename

6147693