State-of-art on permanent magnet brushless DC motor drives
B Singh, S Singh - Journal of power Electronics, 2009 - repository.ias.ac.in
Permanent magnet brushless DC (PMBLDC) motors are the latest choice of researchers due
to their high efficiency, silent operation, compact size, high reliability and low maintenance …
to their high efficiency, silent operation, compact size, high reliability and low maintenance …
[PDF][PDF] Genetic algorithms: Concepts, design for optimization of process controllers
R Malhotra, N Singh, Y Singh - … and information science, 2011 - pdfs.semanticscholar.org
Genetic Algorithm is a search heuristic that mimics the process of evaluation. Genetic
Algorithms can be applied to process controllers for their optimization using natural …
Algorithms can be applied to process controllers for their optimization using natural …
Single-phase power factor controller topologies for permanent magnet brushless DC motor drives
B Singh, S Singh - IET Power Electronics, 2010 - IET
This study presents various configurations, control schemes and design of single-phase
power factor controller (PFC) topologies for permanent magnet brushless DC motor …
power factor controller (PFC) topologies for permanent magnet brushless DC motor …
Design and implementation of brushless DC motor drive and control system
W Huazhang - Procedia Engineering, 2012 - Elsevier
The paper designs a high power brushless DC motor (BLDC) closed-loop control system,
mainly including design of IR2130 drive circuit, H bridge drive circuit, Control of rotation …
mainly including design of IR2130 drive circuit, H bridge drive circuit, Control of rotation …
Speed control of PMBLDC motor using MATLAB/Simulink and effects of load and inertia changes
VM Varatharaju, BL Mathur… - … on Mechanical and …, 2010 - ieeexplore.ieee.org
Modeling and simulation of electromechanical systems with machine drives are essential
steps at the design stage of such systems. This paper describes the procedure of deriving a …
steps at the design stage of such systems. This paper describes the procedure of deriving a …
An effective real coded GA based fuzzy controller for speed control of a BLDC motor without speed sensor
In this study, an effective Real Coded Genetic Algorithm (GA) based optimal fuzzy controller
is proposed. The fuzzy controller is used for sensorless speed control of a Brushless DC …
is proposed. The fuzzy controller is used for sensorless speed control of a Brushless DC …
[PDF][PDF] Design of embedded hybrid fuzzy-GA control strategy for speed control of DC motor: a servo control case study
R Malhotra, N Singh, Y Singh - International Journal of Computer …, 2010 - Citeseer
In this paper, DC motor speed control models were mathematically extracted and
implemented using artificial intelligence techniques. Due to multivariable and non-linear in …
implemented using artificial intelligence techniques. Due to multivariable and non-linear in …
An artificial neural network based rotor position estimation for sensorless permanent magnet brushless DC motor drive
R Kumar, SV Padmanaban - IECON 2006-32nd Annual …, 2006 - ieeexplore.ieee.org
This paper presents a sensorless scheme for rotor position estimation of permanent magnet
brushless dc motor using artificial neural networks with the formulation and comprehensive …
brushless dc motor using artificial neural networks with the formulation and comprehensive …
Four switch three phase inverter control of BLDC motor
V Krishnakumar… - 2011 1st International …, 2011 - ieeexplore.ieee.org
The main purpose of this paper is to describe a low cost four-switch brushless dc (BLDC)
motor drive for commercial applications. For effective utilization of the developed system, a …
motor drive for commercial applications. For effective utilization of the developed system, a …
[PDF][PDF] Genetic algorithm optimization by natural selection
MM Mijwel - Computer Science, 2016 - academia.edu
Genetic Algorithms (GAs) are adaptive methods that can be used to solve search and
optimization problems. They are based on the genetic process of living organisms …
optimization problems. They are based on the genetic process of living organisms …