Open AccessSpeed Estimation of Adaptive Fuzzy-Controlled Piezo-Electric Motor using MLP-Neural Network
Author(s) -
Shebel Al-Sabbah,
Tariq Mughrabi
Publication year - 2008
Publication title -
american journal of applied sciences
Language(s) - English
Resource type - Journals
eISSN - 1554-3641
pISSN - 1546-9239
DOI - 10.3844/ajassp.2008.1518.1521
Subject(s) - artificial neural network , adaptive neuro fuzzy inference system , computer science , electric motor , neuro fuzzy , fuzzy logic , control engineering , control theory (sociology) , engineering , artificial intelligence , fuzzy control system , control (management) , electrical engineering
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 multi-layer 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 adaptive-fuzzy based speed control system. The model is validated and examined to achieve a minimized relative error in speed estimation approaches