Research Article Open Access

Speed Estimation of Adaptive Fuzzy-Controlled Piezo-Electric Motor using MLP-Neural Network

Shebel ALSABBAH and Tariq MUGHRABI

Abstract

The speed of ultrasonic motor of piezo-electric type is usually measured using mechanical sensors such as pulse encoders. However, these sensors are costly and bulky. In this paper, a numerical speed estimation approach of a piezo-electric motor (PEM) is implemented using multilayer perception neural network (MLP-NN). The proposed model evaluates rotational speed and load torque based on the amplitude and driving frequency of the terminal voltage, considering the temperature variation. The estimated speed is employed to enhance the performance of the adaptivefuzzy based speed control system. The model is validated and examined to achieve a minimized relative error in speed estimation approaches.

American Journal of Applied Sciences
Volume 5 No. 11, 2008, 1518-1521

DOI: https://doi.org/10.3844/ajassp.2008.1518.1521

Submitted On: 18 September 2007 Published On: 30 November 2008

How to Cite: ALSABBAH, S. & MUGHRABI, T. (2008). Speed Estimation of Adaptive Fuzzy-Controlled Piezo-Electric Motor using MLP-Neural Network . American Journal of Applied Sciences, 5(11), 1518-1521. https://doi.org/10.3844/ajassp.2008.1518.1521

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Keywords

  • Neural Network
  • MATLAB
  • USR60
  • hybrid model