Intelligent control of induction motor without speed sensor

Abstract

<p>This paper presents a proposed sensorless algorithm for induction motor(IM)speed control based on artificial neural networks (ANNs).The Indirect rotor field oriented (IRFO) technique is applied to control the motor. It is designed based on the proportional-integral (PI) controller. The particle swarm optimization (PSO) algorithm is used as a good solution for the problems associated with the design of the proportional-integral (PI) controller gains.The PSO is compared with the conventional methods. The proposed controller (PSO-PI) is then integrated with the artificial neural network(ANN) speed estimator. The MATLAB/Simulink is used for the simulation of the system. The obtained simulation results for the proposed technique are very close to the actual ones.</p>

A new approach of robust speed-sensorless control of doubly fed induction motor fed by photovoltaic solar panel

“…In addition, the introduction of this fragile device results in a decrease in the reliability of the system which requires special care for itself. has become a serious subject of research study in recent years [16]− [18]. This work will be devoted to the implementation of an algorithm for observing the speed of a DFIM using the sliding mode observer.…”