Analysis Of Brushless DC Motor Research Articles

Speed Control Analysis of Brushless DC Motor Using PI, PID and Fuzzy-PI Controllers

Brushless DC Motor (BLDC) are relatively new in the industry in comparison to DC motor and induction motor. Conventional controllers like PI, PID are easy to implement but they are not as good as a Hybrid Fuzzy-PI controller for smooth operations. In this paper with the help of MATLAB/SIMULINK, speed response of BLDC motor drive system has been done using PI, PID and Fuzzy-PI controller.

Modelling, performance assessment and transient analysis of brushless DC motor by controller techniques

This paper investigates steady state and transients' performance of Brushless Direct Current Motor (BLDC) motor and collates the performance of Proportional Integral (PI) and Proportional Integral Derivative (PID) Controller. Speed and torque behavior is most valuable nowadays for home appliance and other applications. The torque in motor is produced with effect of magnetic field and current. Magnetic field is generated in motor by the strong permanent magnet, and motor current depends upon voltage control and Eb, which is done by field and speed motor. In order to obtain required torque and speed at a particular load, current required must be controlled. The transient or dynamic response analysis is done with transfer function of BLDC motor obtained by the Laplace transform of equivalent circuit equation. The trapezoidal type BLDC machine is controlled using 3-phase Inverter Bridge. The commutation sequence is done with hall sensor and gate pulses. The simulation work is done in MATLAB/ Simulink software and mathematical model is evaluated. The analysis is done to know the performance of how quickly the transient reduces and gives smooth operation for various applications.

Performance analysis of brushless DC motor with optimum magnetic energy for bicycle application

<span lang="EN-US">Brushless DC (BLDC) motor is widely used for various applications such as transportation. BLDC motor has many advantages compared to brush motor such as more compact, high robustness and simplest construction. The maintenance of this motor also low compared to brush motor due to absent of the brush inside the motor. For electric bicycle application, the conventional motor has low electromagnetic torque because not properly designed. It faces low torque density as the motor in full load condition especially during climb uphill. In this research, an optimum magnetic energy is being determine by proper selection of permanent magnet size. In addition, this research also increases the input current in dynamic condition into the designed BLDC motor. Finite element method (FEM) is used to analyze other performance characteristic of improved motor such as back electromotive force (EMF), electromagnetic torque, flux linkage, and stator flux density. Parameter for improve the current motor are selected and varied based on the required specification. In conclusion, the research proposed the new motor specification that has highest electromagnetic torque of brushless DC motor. Finally, this research provides guidelines, suggestions and proposes a better improved structure in optimize the magnetic energy in BLDC motor.</span>

Fuzzy controller based performance analysis of brushless DC motor, utilizing matlab simulink environment

Fuzzy controller based performance analysis of brushless DC motor, utilizing matlab simulink environment

Performance Analysis of Brushless DC Motor Using Modified Queen Bee Evolution Based Genetic Algorithm Tuned PI Controller under Different Speed Conditions

The modeling of BLDC motor and performance analysis under diverse operating speed settings has been presented in this paper. BLDC motors gaining more & more attention from different Industrial and domestic appliance manufacturers due to its compact size, high efficiency and robust structure. Voluminous research and developments in the domains of material science and power electronics led to substantial increase in applications of BLDC motor to electric drives. This paper deals with the modeling of BLDC motor drive system along with a comparative study of modified queens bee evolution based GA tuned & manually tuned control schemes using MATLAB /SIMULINK. In order to evaluate the performance of proposed drive, simulation is carried out at different Mechanical load & speed conditions. Test outcomes thus achieved show that the model performance is satisfactory.

Chaotic Characteristic Analysis of Brushless DC Motor with Vibration Load Disturbance

Chaotic Characteristic Analysis of Brushless DC Motor with Vibration Load Disturbance

Chaotic Characteristic Analysis of Brushless DC Motor with Vibration Load Disturbance

Chaotic Characteristic Analysis of Brushless DC Motor with Vibration Load Disturbance

Local bifurcation analysis of brushless DC motor

In practice, chaos is normally detrimental to brushless DC motor (BLDCM) systems. This paper investigates the Hopf, pitchfork, and general bifurcation to identify the parameter regimes associated with chaos generation. Such information helps to avoid chaos in the design of BLDCM. The original model of the BLDCM is employed to retain the physical interpretation. Pitchfork bifurcation is revealed due to the effect of direct-axis voltage. The BLDCM demonstrates Hopf bifurcation, which occurs under special motor parameter conditions for both mechanical and electrical quantities. Center manifold theorem and normal formal theory are used to prove both types of bifurcation. The bifurcation conditions in terms of the number of pole pairs are also highlighted. Different dynamical modes of the BLDCM are also investigated using numerical methods such as bifurcation diagrams and 2D Lyapunov exponent graph associated with direct-axis voltage and viscous damping coefficient.

A computer aided educational tool for design, modeling, and performance analysis of Brushless DC motor in post graduate degree courses

The design of electrical machines is gaining more popularity in the last years especially in electrical engineering courses. However, commonly-used teaching techniques seem to limit students' understanding and prevent the attainment of the learning objectives. The competence of this subject can be significantly improved when a practical approach based on the use of computer-aided educational tools is followed. Thus, this paper proposes an effective and user-friendly educational tool, which has been developed and successfully implemented in post-graduate courses in order to facilitate the conception of brushless direct current (BLDC) machines design aspect. At first, a step-by-step design procedure is analytically described and then the main tool's characteristics and capabilities are also presented. Finally, its impact assessment has been conducted and the derived results revealed that its application could be extended to the design of various types of electrical motors and generators.

Commutation Analysis of Brushless DC Motor and Reducing Commutation Torque Ripple in the Two-Phase Stationary Frame

The control of brushless dc motors (BLDCMs) is similar to dc motors during the noncommutation interval. However, three phases are involved in electromechanical energy conversion during the commutation interval, making the control of the BLDCM similar to a three-phase ac motor during the commutation interval. A novel commutation analysis method for BLDCMs is proposed based on the coordinate transformation theory, which is used in control of a three-phase ac motor usually. The model of the BLDCM during the commutation interval is acquired in the two-phase stationary frame by using the Clark transformation. The commutation control method for suppressing commutation torque ripple and shortening the commutation time are obtained. Finally, the feasibility and effectiveness of the method is verified by experimental results.

Brushless DC motor speed control strategy of simulation research

In view of the brushless DC motor speed regulation problem, an ideal control strategy is designed. Through the model and analysis of Brushless DC motor, the mathematical model of the brushless DC motor is obtained. By comparing three control strategies of PID control strategy, fuzzy control strategy and fuzzy PID control strategy, PID controller, fuzzy controller and fuzzy PID controller are designed respectively for simulation test. The simulation results show that the fuzzy PID controller has good control effect.

Analysis of Brushless DC Motor with Trapezoidal Back Emf with Matlab

Abstract: The dynamic characteristics such as speed and torque as well as voltages and currents of pwm brushless DC motor inverter are analyzed with a MATLAB model. The contribution of external load torque and friction torque is monitored. The switching function technique is adopted for the current control of the embedded three phase inverter that drives the brushless DC motor. In switching functions the power conversions circuits can be modeled according to their functions rather than circuit topologies. Therefore, it can achieve simplification of the overall power conversion functions. The trapezoidal type (back emf) is used in the model as it has lower switching loss compared with sinusoidal type (back emf). Results show reliable time analysis for speed, torque, phase and line voltages and currents and the effect of current commutation is clearly observed.

Design and Torque Ripple Analysis of Brush-less DC Motor According to Delta Winding Connection

In this study, we describe the design method of a Brush-less DC (BLDC) motor with delta winding connection. After designing delta winding connection model with the 60° flat-top region of the Back Electro-Motive Force (BEMF), an ideal current source analysis and a voltage source analysis, with a 6-step control, were conducted primarily employing Finite Element Method. In addition, as a current controller, we considered the Current Regulator with PI controller using Simulink for the comparison of torque characteristics. When the input current is controlled, the switching regions and reference signals are determined by means of the phase BEMF zero-crossing point. In reality, the input current variation depends on the inductance as well as input voltage, and it causes a torque ripple after all. Therefore, each control method considered in this research showed different torque ripple results. Based on the comparison, the causes of the torque ripple have been verified in detail.

Analysis of Brushless DC Motor with Trapezoidal Back EMF with Matlab

The dynamic characteristics such as speed and torque as well as voltages and currents of pwm brushless DC motor inverter are analyzed with a MATLAB model. The contribution of external load torque and friction torque is monitored. The switching function technique is adopted for the current control of the embedded three phase inverter that drives the brushless DC motor. In switching functions the power conversions circuits can be modeled according to their functions rather than circuit topologies. Therefore, it can achieve simplification of the overall power conversion functions. The trapezoidal type (back emf) is used in the model as it has lower switching loss compared with sinusoidal type (back emf). Results show reliable time analysis for speed, torque, phase and line voltages and currents and the effect of current commutation is clearly observed.

Analysis of Brushless DC Motor with Trapezoidal Back EMF with Matlab

The dynamic characteristics such as speed and torque as well as voltages and currents of pwm brushless DC motor inverter are analyzed with a MATLAB model. The contribution of external load torque and friction torque is monitored. The switching function technique is adopted for the current control of the embedded three phase inverter that drives the brushless DC motor. In switching functions the power conversions circuits can be modeled according to their functions rather than circuit topologies. Therefore, it can achieve simplification of the overall power conversion functions. The trapezoidal type (back emf) is used in the model as it has lower switching loss compared with sinusoidal type (back emf). Results show reliable time analysis for speed, torque, phase and line voltages and currents and the effect of current commutation is clearly observed

Finite-element analysis of brushless DC motor considering freewheeling diodes and DC link voltage ripple

This paper deals with the characteristic analysis of a brushless dc motor (BLDC) taking into consideration the freewheeling diodes and dc link voltage ripple using a time-stepped voltage source finite-element method. By comparing the experimental results, the authors show that the proposed computational method is useful for the analysis and design of a BLDC motor. They also examine the influence of freewheeling diodes and dc link voltage ripples on the performance of a BLDC motor such as torque ripples and radial force on the surface of the teeth.

Overhang effect analysis of brushless DC motor by 3-D equivalent magnetic circuit network method

This paper investigates the permanent magnet overhang effect in brushless dc motor. The characteristics are analyzed according to the variation of symmetric overhang length and asymmetric overhang ratio. A three-dimensional equivalent magnetic circuit network (EMCN) method is used for the accurate and efficient analysis. From the results, it is quantitatively verified that the increase of overhang length enhances the linkage fluxes of the stator and the asymmetric overhang ratio has a large effect on the axial magnetic force.

Simulation and analysis of brushless DC motor drives using hysteresis, ramp comparison and predictive current control techniques

The brushless DC motor with a permanent magnet rotor is considered for the present study. Because of the special structure of the motor, it produces a trapezoidal back electromotive force (EMF). The applied current waveform is rectangular-shaped. Non-ideal effects in the trapezoidal back EMF and motor currents generate a pulsating torque. The reduction of the torque ripple is important from a speed and position control point of view. In the present paper a brushless dc motor drive is simulated and analyzed using hysteresis, ramp comparison and predictive current control schemes. By comparing the results obtained using these techniques, advantages and disadvantages of each technique and its range of applications are discussed.