Engineering and Technology Journal

Abstract

Conventional vector control of A.C drives are widely used in industry and
many other applications, where high dynamic performance is required, this type of
controller usually needs costly speed sensor. Sensorless vector control is strongly
recommended in the dangerous sites and hostile environment, also to reduce cost
and increase reliability. In this way the rotor speed can be estimated from the
terminal voltage and current by means of DSP microprocessor. The DSP-estimator
is very complex hardware, has many operation problems, and very sensitive to the
electromagnetic interference (EMI). This paper proposes using the Artificial
Neural Network (ANN) to estimate the rotor speed, flux vector, torque, and unit
vectors instead of DSP-estimator. Also, the neural-based controller is proposed
too. The ordinary vector control with speed sensor and sensorless vector control
based on DSP-estimator PI-controller are represented in this work as point of
comparison. Also, the mathematical representation and simulation of the three
phase induction motor is illustrated in this paper. The proposed method, neuralbased
sensorless vector controller and estimator, gives superior performance in
different speed with respect to DSP-estimator PI-controller.