PERFORMANCE OF ANN BASED INDIRECT VECTOR CONTROL INDUCTION MOTOR DRIVE

Abstract: This research intends to develop a method based on the Artificial Neural Network (ANN) to predict permanent earthquake-induced deformation of the earth dams and

This paper presents Direct Torque Control (DTC) using Space Vector Modulation (SVM) for an induction motor drive fed from a photovoltaic multilevel inverter (PV-MLI).. The

In this paper, a neural network based internal model control is designed for a pH process and its performance is compared with conventional PI controller and inverse neuro

In this paper, the adaptive neural network sliding mode controller proposed to control a DC motor, so we compare proposed controller with PID, classic SMC and

The objective of this research is to optimize the EC value of nutrient solution on each generative stage using Artificial Neural Network (ANN) and Genetic Algorithms (GA).. ANN

Performance evaluation of the proposed BLDC drive is carried out under varying input AC voltage at rated load (i.e. rated torque and rated speed) to demonstrate the

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

In this paper, the complete kinematic and dynamic analysis of cam and follower is done and critical angular speed is determined for each design to predict when the follower jumps