scholarly journals Design of Sepic Convetrer Controlled Bldc Motor for Electric Vehicle

2019 ◽  
Vol 8 (4) ◽  
pp. 8994-8997
Keyword(s):  
Direct Current ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Brushless Dc ◽  
Brushless Motor ◽  
Direct Current Motor ◽  
Proper Design ◽  
Real Time Applications ◽  
Day By Day ◽  
Brushless Direct Current Motor

This paper represents the design and analysis of the Brushless Direct current motor. The usage of brushless motor is increasing day by day in that the design aspects are more important and the customer satisfaction is important. Based upon the rating the needs brushless DC motor is designed. The design has been done with the controllers and the real time applications such as EV, the controllers had been used to get the proper design. The results are analyzed using the MATLAB simulink software. Keywords : Brushless Direct Current Motor(BLDC),

Design and Simulation of Brushless Direct Current Motor Drive

2013 ◽  
Vol 850-851 ◽  
pp. 284-287
Author(s):  
Wei Meng ◽  
Lei Meng
Keyword(s):  
Control System ◽  
Direct Current ◽  
Electromagnetic Interference ◽  
Dc Motor ◽  
Low Noise ◽  
Brushless Dc Motor ◽  
Stable Operation ◽  
Brushless Dc ◽  
Direct Current Motor ◽  
Brushless Direct Current Motor

Instead of mechanical commutator for DC motor, Brushless DC motor used electronic commutator. And brushless DC motor (BLDCM) extended the effective using time of a motor and eliminated some problems caused by the mechanical commutator, such as electromagnetic interference, brush wear, frequent maintenance and etc. At the meantime, brushless DC motor inherited a few advantages from DC motor, like wide speed range, large torque, stable operation, low noise, and high power density; there is great significance in researching BLDCM control system. This paper researches the application of fuzzy control strategy in BLDCM (brushless direct-current motor) control system. The design and simulation of BLDCM control system based on DSP controller also presented in the paper.

scholarly journals Multiobjective FEM based optimization of BLDC motor using Matlab and Maxwell scripting capabilities

2014 ◽  
Vol 63 (1) ◽  
pp. 115-124 ◽  
Author(s):  
R. Caramia ◽  
R. Piotuch ◽  
R. Pałka
Keyword(s):  
Genetic Algorithm ◽  
Multiobjective Optimization ◽  
Direct Current ◽  
Optimization Process ◽  
Bldc Motor ◽  
Cogging Torque ◽  
Direct Current Motor ◽  
Brushless Direct Current Motor

Abstract The paper presents a methodology for the optimization of a Brushless Direct Current motor (BLDC). In particular it is focused on multiobjective optimization using a genetic algorithm (GA) developed in Matlab/Optimization Toolbox coupled with Maxwell from ANSYS. Optimization process was divided into two steps. The aim of the first one was to maximize the RMS torque value and to minimize the mass. The second part of the optimization process was to minimize the cogging torque by selecting proper magnet angle. The paper presents the methodology and capabilities of scripting methods rather than specific optimization results for the applied geometry

Stabilization of a Fractional-Order Nonlinear Brushless Direct Current Motor

2017 ◽  
Vol 12 (4) ◽  
Author(s):  
Sunhua Huang ◽  
Bin Wang
Keyword(s):  
Laplace Transform ◽  
Fractional Order ◽  
Direct Current ◽  
Sufficient Conditions ◽  
Brushless Dc Motor ◽  
Jordan Decomposition ◽  
Brushless Dc ◽  
Gronwall’S Inequality ◽  
The Laplace Transform ◽  
Brushless Direct Current Motor

This paper describes the stabilization of a fractional-order nonlinear brushless DC motor (BLDCM) with the Caputo derivative. Based on the Laplace transform, a Mittag-Leffler function, Jordan decomposition, and Grönwall's inequality, sufficient conditions are proposed that ensure the local stabilization of a BLDCM as fractional-order α: 0<α≤1 is proposed. Then, numerical simulations are presented to show the feasibility and validity of the designed method. The proposed scheme is simpler and easier to implement than previous schemes.

scholarly journals Optimization of Proportional Integral Derivative Parameters of Brushless Direct Current Motor Using Genetic Algorithm

2020 ◽  
pp. 24-32
Author(s):  
Isaiah Adebayo ◽  
David Aborisade ◽  
Olugbemi Adetayo
Keyword(s):  
Genetic Algorithm ◽  
Direct Current ◽  
Pid Controller ◽  
Absolute Error ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Proportional Integral Derivative ◽  
Proportional Integral ◽  
Brushless Dc

Optimal performance of the Brushless Direct Current (BLDC) motor is to be realized using an efficient Proportional Integral Derivative (PID) controller. However, conventional tuning technique fails to perform satisfactorily under parameter variations, nonlinear conditions and time delay. Also using conventional technique to tune the parameters gain of the PID controller is a difficult task. To overcome these difficulties, modern heuristic optimization technique are required to optimally tune the Proportional, Integral, Derivative of the controller for optimal speed control of three phase BLDC motor. Thus, genetic algorithm (GA) based PID controller was used to achieve a high dynamic control performance. The Brushless DC Motor mathematical equation which describes the voltage and corresponding rotational angular speed and torque of the brushless DC motor was employed using electrical DC Machines theorem. The Genetic algorithm was further analyzed by adopting the three common performance indices i.e. Integral Time Absolute Error (ITAE), Integral Square Error (ISE) and Integral Absolute Error (IAE) in order to capture and compare the most suitable BLDC Motor speed and torque control characteristics. All simulations were done using MATLAB (R2018a). The simulation result showed that the system with GA-PID controller had the better system response when compared with the existing technique of ZN-PID controller.

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