scholarly journals Sensorless Based Torque Ripple Reduction in Brushless DC Motor

2019 ◽  
Vol 9 (2) ◽  
pp. 3578-3582
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
High Efficiency ◽  
Low Voltage ◽  
Torque Ripple ◽  
Operating Life ◽  
Brushless Dc ◽  
Torque Pulsations ◽  
Commutation Torque Ripple ◽  
Torque Ripples

Brushless Direct Current Motor (BLDCM) has been commonly utilised in fields that necessitate high fidelity and specific control, owing to its simple structure, high power density, high efficiency, high starting torque, long operating life, and prolonged ranges of speed. While considering of the drive part of the motor, the most significant part is commutation control. During commutation, they generate some high torque ripples which is caused by non-ideal commutation currents in the stator windings which confines its application, exclusively at low-voltage fields. Some of the techniques for the mitigation of commutation torque ripples are reviewed here. A complete knowledge of commutation torque ripple was done by proposed phase advancing method for commutation control for diminishing torque pulsations for the complete ranges of speed. An analysis was made in order to design and implement an optimal current vector trajectory for reducing the torque pulsations for the complete speed range. This method utilises terminal voltage sensing technique and the terminal voltages are converted into d-q reference frame and hence those values are compared with specified values in order to generate the commutation signals. Initially the proposed system is simulated with Proportional Integral controller and then with Fuzzy Logic Controller. Simulation of the proposed system was done in MATLAB version 2013a and the results of comparison was made for both PI controller and fuzzy logic controller.

scholarly journals Execution of BLDC Motor using Fuzzy Logic Controller on Propulsion Application for Hybrid Vehicle System

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3989-3993
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
Torque Ripple ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Rotor Speed ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Sensor Control

This research Paper proposes the Brushless DC motors control (BLDC) could accomplish higher execution looking into effectiveness in examination for old brushed DC motor controlling which is difficult to control because it requires a phase for switching circuit. This work proposes a fuzzy logic control for brushless DC motor for axis based on Hall Effect by applying sensor control system and also it produces brushless motor for rearranging the three phase conduction mode model. At long last this paper may be with create efficient control methodologies on enhance driving dynamics on the mechanical dynamic consider of propulsion method. The recommended control method stabilizes those controls services (speeds) done by controller of brushless DC motor drive (BLDC). On behalf of settling 2 wheels also physical favorable circumstances of BLDC motors are associated straight forwardly of the tires by improving the rotor speed. The parameters such as power factor, rotor speed, torque ripple, EMF is compensated & simulation results are tabulated.

scholarly journals A Hybrid Moth-Flame Fuzzy Logic Controller Based Integrated Cuk Converter Fed Brushless DC Motor for Power Factor Correction

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 288 ◽  
Author(s):  
Kuditi Kamalapathi ◽  
Neeraj Priyadarshi ◽  
Sanjeevikumar Padmanaban ◽  
Jens Holm-Nielsen ◽  
Farooque Azam ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Power Factor ◽  
Fuzzy Logic Controller ◽  
Power Factor Correction ◽  
Research Work ◽  
Torque Ripple ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Cuk Converter ◽  
Brushless Dc

This research work deals with a hybrid control system based integrated Cuk converter fed brushless DC motor (BLDCM) for power factor correction. In this work, moth-flame optimization (MFO) and a fuzzy logic controller (FLC) have been combined and a moth-flame fuzzy logic controller (MFOFLC) has been proposed. Firstly, the BLDC motor modeling is composed with the power factor correction (PFC) based integrated Cuk converter and BLDC speed is regulated using variable DC-Link inverter voltage which results in a low switching operation with fewer switched losses. Here, with the use of a switched inductor, the task and execution of the proposed converter is redesigned. The DBR (diode bridge rectifier) trailed by a proposed PFC based integrated Cuk converter operates in discontinuous inductor conduction mode (DICM) for achievement of better power factor. MFO is exhibited for gathering of a dataset from the input voltage signal. At that point, separated datasets are sent to the FLC to improve the updating function and minimization of torque ripple. However, our main objective is to assess adequacy of the proposed method, but the power factor broke down. The execution of the proposed control methodology is executed in the MATLAB/Simulink working platform and the display is assessed with the existing techniques.

scholarly journals Design of Landsman Converter Fed BLDC Motor using IFOC and Back EMF Estimation Method

2020 ◽  
Vol 8 (5) ◽  
pp. 2958-2963
Keyword(s):  
High Efficiency ◽  
Low Voltage ◽  
Low Cost ◽  
Estimation Method ◽  
Torque Ripple ◽  
Bldc Motor ◽  
Brushless Dc ◽  
Low Voltage Operation ◽  
Indirect Field Oriented Control ◽  
Paper Sensor

In this paper, sensor-less control of Brushless DC (BLDC) motor drive fed from Landsman Converter (LC) powered from photovoltaic (PV) is designed to improve the performance of the motor. For obtaining the torque ripple minimization and accurate speed control using simplified Indirect Field Oriented Control (IFOC) is applied to the motor with Back-EMF estimation method. It is used for estimation of speed in sensor-less approach and implements to tracks the continuous changes of speed. This estimated speed is used to initiate the rotor position, and hall commutation signals predicted from the rotor angle. The performance of sensor less BLDC motor with low voltage operation which expresses high efficiency at low cost and reduction in torque ripple are verified using MATLAB/Simulink.

scholarly journals Green Two-wheeled Mobility: Electric Scooters Using Brushless Motor based on Fuzzy Logic Controller

2018 ◽  
Vol 7 (3) ◽  
pp. 169
Author(s):  
Hassane Bachiri ◽  
Abdelfetah Nasseri
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
High Efficiency ◽  
Fuzzy Controller ◽  
Fast Response ◽  
Personal Mobility ◽  
Brushless Dc ◽  
Brushless Motor ◽  
Electric Bicycles ◽  
Pollution Emissions

In the last years electric vehicles gained importance as a more sustainable alternative to traditional vehicles. The introduction of an electric power train leads to lower air-pollution emissions. ‘Electric bicycles’ are sometimes more like an electric pedaled moped, other times more like a Vespa-looking scooter with or without pedals, and they often offer good range and speeds. However, a “scooter” can also be an electric cart for personal mobility, or a skateboard-like vehicle with small handlebars. Electric scooters are the most legislatively active realm of electric bicycles, at the present time. Brushless DC (BLDC) motors are one of the electrical drives that are rapidly gaining popularity, due to their high efficiency, good dynamic response and low maintenance. In this paper, the modeling and simulation of the BLDC motor was done using the software package MATLAB/SIMULINK. The proposed fuzzy logic controller has given optimal results compared to PI controller. The simulated system using the fuzzy controller has a fast response without overshoot, zero steady state error and high load robustness.

scholarly journals Hybrid Moth-Flame Fuzzy Logic Controller Based Integrated Cuk Converter Fed Brushless DC Motor for Power Factor Correction

2018 ◽  
Author(s):  
K. Kamalapathi ◽  
Neeraj Priyadarshi ◽  
Sanjeevikumar Padmanaban ◽  
Farooque Azam ◽  
C. Umayal ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Power Factor ◽  
Fuzzy Logic Controller ◽  
Power Factor Correction ◽  
Research Work ◽  
Torque Ripple ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Cuk Converter ◽  
Brushless Dc

This research work deals hybrid control system based integrated Cuk converter fed brushless DC motor (BLDCM) for power factor correction. In this work, moth-flame optimization (MFO) and fuzzy logic controller (FLC) has been combined and moth –flame fuzzy logic controller (MFOFLC) has been proposed. Firstly, the BLDC motor modelling is composed with power factor correction (PFC) based integrated Cuk converter and BLDC speed is regulated using variable DC-Link inverter voltage which makes low switching operation with less switched losses. Here, with the use of switched inductor, the task and execution of proposed converter is redesigned. The DBR (diode bridge rectifier) trailed by proposed PFC based integrated Cuk converter operates in discontinuous inductor conduction mode(DICM) for achievement of better power factor.MFO is exhibited for gathering of dataset from the input voltage signal. At that point separated datasets is send to FLC to improve the updating function and minimization of torque ripple. However, our main objective is to assess adequacy of proposed method, the power factor is broke down. The execution of the proposed control methodology is executed in MATLAB/Simulink working platform and the display is assessed with the existing techniques.

scholarly journals Dynamic Low Voltage Ride through Detection and Mitigation in Brushless Doubly Fed Induction Generators

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4461
Author(s):  
Ahsanullah Memon ◽  
Mohd Wazir Mustafa ◽  
Muhammad Naveed Aman ◽  
Mukhtar Ullah ◽  
Tariq Kamal ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Low Voltage ◽  
Voltage Drop ◽  
Low Voltage Ride Through ◽  
Induction Generators ◽  
Doubly Fed Induction Generators ◽  
Reactive Current ◽  
Doubly Fed ◽  
Rotor Side Converter

Brushless doubly-fed induction generators have higher reliability, making them an attractive choice for not only offshore applications but also for remote locations. These machines are composed of two back-to-back voltage source converters: the grid side converter and the rotor side converter. The rotor side converter is typically used for reactive current control of the power winding using the control winding current. A low voltage ride through (LVRT) fault is detected using a hysterisis comparison of the power winding voltage. This approach leads to two problems, firstly, the use of only voltage to detect faults results in erroneous or slow response, and secondly, sub-optimal control of voltage drop because of static reference values for reactive current compensation. This paper solves these problems by using an analytical model of the voltage drop caused by a short circuit. Moreover, using a fuzzy logic controller, the proposed technique employs the voltage frequency in addition to the power winding voltage magnitude to detect LVRT conditions. The analytical model helps in reducing the power winding voltage drop while the fuzzy logic controller leads to better and faster detection of faults, leading to an overall faster response of the system. Simulations in Matlab/Simulink show that the proposed technique can reduce the voltage drop by up to 0.12 p.u. and result in significantly lower transients in the power winding voltage as compared to existing techniques.

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