Mathematical modeling and simulation of Brushless DC motor with ideal Back EMF for a precision speed control

Benzid

et al. 2021

Sensors

Firefly Algorithm (FA) is a recent swarm intelligence first introduced by X.S. Yang in 2008. It has been widely used to solve several optimization problems. Since then, many research works were elaborated presenting modified versions intending to improve performances of the standard one. Consequently, this article aims to present an accelerated variant compared to the original Algorithm. Through the resolving of some benchmark functions to reach optimal solution, obtained results demonstrate the superiority of the suggested alternative, so-called Fast Firefly Algorithm (FFA), when faced with those of the standard FA in term of convergence fastness to the global solution according to an almost similar precision. Additionally, a successful application for the control of a brushless direct current electric motor (BLDC) motor by optimization of the Proportional Integral (PI) regulator parameters is given. These parameters are optimized by the FFA, FA, GA, PSO and ABC algorithms using the IAE, ISE, ITAE and ISTE performance criteria.

Section: Application For the Control Of Brushless DC Motormentioning

confidence: 99%

“…By consideration of the symmetry of the phases, it is assumed that the three phases’ resistances are identical as well as the inductances. Consequently, the equations describing the model of the equivalent circuit of the motor are [ 43 , 44 , 45 ]:

…”

Section: Application For the Control Of Brushless DC Motormentioning

confidence: 99%

A Fast Firefly Algorithm for Function Optimization: Application to the Control of BLDC Motor

Benzid

et al. 2021

Sensors

“…Rotor magnet has high resistivity and low reluctance, as a result currents induced in rotor is negligible and hence modeling of damper windings isn't necessary. The resultant equations in terms of the circuit variables are [6]. On taking the assumptions that variation in reluctance of rotor with rotor position is negligible, also assuming that back EMF is trapezoidal [1] in shape & resistance value are same for three phases, above equation will reduce to.…”

Section: Mathematical Model Of the Bldc Motormentioning

confidence: 99%

“…Te-Tl = J×pωr +Bωr (6) Where, Tl = mechanical torque in N-m J = inertia in kg-m 2 Equations (4), (5), and (6) represents the current drawn, generated electric torque & overall mechanical torque delivered to shaft of the brushless DC motor and, hence the dynamic model of the brushless DC motor drive [7].…”

Section: Total Mechanical Torque Transferred To Brushless DC Motor Shaftmentioning

confidence: 99%

Speed Control of Brushless DC Motor Using Modified Genetic Algorithm Tuned Fuzzy Controller

Rawat

Azeem

2020

CJAST

In the last decade with increasing motor application domain, need towards usage of precisely controlled, noise free, highly efficient and high starting torque motors also increases, as a result dedicated applications has fascinated the researcher toward brushless DC motor. Brushless DC motors can act as suitable alternative to the traditional Brushed direct current motor, Induction Motor etc. This research paper inspects the ease and effectiveness of modified queen bee based GA tuned fuzzy controller and shows the performance of a proposed controller under diverse speed settings. A comparative study with conventional PI controller shows effectiveness of modified queen bee based GA Tuned Fuzzy controller, in terms of parameter like peak overshoot and settling time. MATLAB/SIMULINK Environment is used for optimization and modeling of Brushless DC motor drive.

“…The trapezoidal commutation also known as six step commutation, is the simplest form of commutation which is available to control the BLDC motor. This commutation technique is very popular because of its simple control algorithm and low-cost [7]. This commutation requires a high value of the DC-link capacitor and a voltage source inverter (VSI), which introduces both torque ripple and high harmonic distortion.…”

Section: Introductionmentioning

confidence: 99%

Comparative study of three different bridge-less converters for reduction of harmonic distortion in brushless DC motor

Mondal

Chattopadhyay²

2020

IJEECS

Self Cite

<p class="DefaultParagraphFont1">This paper represents a comparative study of three different types of DC-DC converter that can be used for reduction of Total Harmonic Distortion (THD) in stator current, back electromotive force (EMF) and torque of brush less DC motor. In addition, the topologies of these converters are analysed, and the THD of the output characteristics have also been studied. In this work, SEPIC, Zeta and Flyback converters are considered and their outputs are fed to the BLDCM with the help of universal bridge or six step inverter. Moreover the THD of the output voltages are not only measured for three converters but also reduced by tuning the parameters. At first these three converters are modeled in MATLAB/ Simulink based simulation platform and studied the performance individually and further executed with hardware circuitry. Finally the output parameters from both software simulation and real time hardware are compared for these three converters separately and got satisfactory similar results. Again we studied the performance with these converters in terms of efficiency while fed in the commutation drive circuitry of BLDCM by considering minimum THD. From this comparative simulation results, it has been observed that Zeta converter showed maximum efficiency. Therefore, in real time hardware implementation, the commutation drive circuitry of BLDCM is studied with Zeta converter. With this configuration, a comparatively low THD of stator current, back EMF and electromagnetic torque have been achieved in BLDCM with PID controller.</p>