DOI nefunkčníThe paper deals with the application of an artificial neural network in the speed control of the DC drive without a speed sensor. The sensorless control structure of the DC drive contains the feedforward artificial neural network for speed estimation. The sensorless DC drive was simulated in program Matlab with Simulink toolbox. The main goal was to find the simplest artificial neural network structure with minimum number of neurons, but simultaneously good control characteristics are required. Despite the used neural network, which is very simple, it was achieved satisfactory results. The simulation results were confirmed by measurement of important quantities on a laboratory stand with the DC drive.Web of Science11102...
For the high performance drives the artificial neural network based Induction motor is proposed. Dur...
The use of sensorless technologies is an increasing tendency on industrial drivers for electrical ma...
Abstract:- This paper presents a speed estimation method using neural networks (NN) in a vector cont...
In this paper, Artificial Neural Network (ANN) technique is implemented to improve speed and torque ...
This paper uses Artificial Neural Networks (ANNs) in estimating speed and controlling it for a separ...
This paper proposes the design of sensorless induction motor drive based on direct power control (DP...
This paper uses Artificial Neural Networks (ANNs) in estimating speed and controlling it for a separ...
This paper describes a newly developed speed sensorless drive based on neural networks. A backpropag...
Abstract. The purpose of this research is to model usage of neural network for speed control of DC d...
The purpose of this study is to control the speed of direct current (DC) motor with Artificial Neura...
A simple scheme for the neural network (NN) adaptive control of the speed of a DC drive is presented...
This paper proposed a control scheme of a neural network for the brushless direct current (BLDC) per...
The squirrel-cage induction motor has various inherent advantages not present in other types of ac m...
AbstractIn this paper, a sensorless permanent magnet synchronous motor (PMSM) drive was presented ba...
In this paper, a sensorless permanent magnet synchronous motor (PMSM) drive was presented based on d...
For the high performance drives the artificial neural network based Induction motor is proposed. Dur...
The use of sensorless technologies is an increasing tendency on industrial drivers for electrical ma...
Abstract:- This paper presents a speed estimation method using neural networks (NN) in a vector cont...
In this paper, Artificial Neural Network (ANN) technique is implemented to improve speed and torque ...
This paper uses Artificial Neural Networks (ANNs) in estimating speed and controlling it for a separ...
This paper proposes the design of sensorless induction motor drive based on direct power control (DP...
This paper uses Artificial Neural Networks (ANNs) in estimating speed and controlling it for a separ...
This paper describes a newly developed speed sensorless drive based on neural networks. A backpropag...
Abstract. The purpose of this research is to model usage of neural network for speed control of DC d...
The purpose of this study is to control the speed of direct current (DC) motor with Artificial Neura...
A simple scheme for the neural network (NN) adaptive control of the speed of a DC drive is presented...
This paper proposed a control scheme of a neural network for the brushless direct current (BLDC) per...
The squirrel-cage induction motor has various inherent advantages not present in other types of ac m...
AbstractIn this paper, a sensorless permanent magnet synchronous motor (PMSM) drive was presented ba...
In this paper, a sensorless permanent magnet synchronous motor (PMSM) drive was presented based on d...
For the high performance drives the artificial neural network based Induction motor is proposed. Dur...
The use of sensorless technologies is an increasing tendency on industrial drivers for electrical ma...
Abstract:- This paper presents a speed estimation method using neural networks (NN) in a vector cont...