Brushless DC Motor with Permanent Magnets for Unmanned Aerial Vehicle Hybrid Drive

2017 ◽  
pp. 29-52
Author(s):  
P. Bogusz ◽  
M. Korkosz ◽  
J. Prokop ◽  
P. Wygonik
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Permanent Magnets ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Hybrid Drive ◽  
Brushless Dc ◽  
Aerial Vehicle

scholarly journals Research of influence of open-winding faults on properties of brushless permanent magnets motor

Open Physics ◽  
2017 ◽  
Vol 15 (1) ◽  
pp. 959-964
Author(s):  
Piotr Bogusz ◽  
Mariusz Korkosz ◽  
Adam Powrózek ◽  
Jan Prokop ◽  
Piotr Wygonik
Keyword(s):  
Permanent Magnets ◽  
Simulation Models ◽  
Brushless Dc Motor ◽  
Bldc Motor ◽  
Test Results ◽  
Hybrid Drive ◽  
Brushless Dc ◽  
Laboratory Test Results ◽  
Aerial Vehicle ◽  
The Subject

AbstractThe paper presents an analysis of influence of selected fault states on properties of brushless DC motor with permanent magnets. The subject of study was a BLDC motor designed by the authors for unmanned aerial vehicle hybrid drive. Four parallel branches per each phase were provided in the discussed 3-phase motor. After open-winding fault in single or few parallel branches, a further operation of the motor can be continued. Waveforms of currents, voltages and electromagnetic torque were determined in discussed fault states based on the developed mathematical and simulation models. Laboratory test results concerning an influence of open-windings faults in parallel branches on properties of BLDC motor were presented.

scholarly journals Analysis of a Permanent-Magnet Brushless DC Motor with Fixed Dimensions

2010 ◽  
Vol 26 (1) ◽  
pp. 78-81
Author(s):  
Uldis Brakanskis ◽  
Janis Dirba ◽  
Ludmila Kukjane ◽  
Viesturs Drava
Keyword(s):  
Magnetic Flux ◽  
Permanent Magnet ◽  
Permanent Magnets ◽  
Dc Motor ◽  
Magnetic Flux Density ◽  
Brushless Dc Motor ◽  
Outer Diameter ◽  
Zone Length ◽  
Brushless Dc ◽  
Permanent Magnet Brushless Dc

Analysis of a Permanent-Magnet Brushless DC Motor with Fixed DimensionsThe purpose of this paper is to describe the analysis of a permanent-magnet brushless DC motor with fixed outer diameter and active zone length. The influence of air gap, material of permanent magnets and their size on the magnetic flux density of the machine and magnetic flux is analyzed. The work presents the calculations of two programs, the comparison of the results and the most suitable combination of factors that has been found.

scholarly journals PID Control System on Brushless DC Motor for Quadcopter Balance

Jurnal INFORM ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 110-114
Author(s):  
Mochamad Mobed Bachtiar ◽  
Fernando Ardilla ◽  
Muhammad Faiz Hasbi ◽  
Iwan Kurnianto Wibowo
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Dc Motor ◽  
Unmanned Aircraft ◽  
Integrated System ◽  
Brushless Dc Motor ◽  
Test Results ◽  
Brushless Dc ◽  
Aerial Vehicle ◽  
Aircraft System

Unmanned Aerial Vehicle (UAV) is an unmanned aircraft system that is no longer a special need but has become a general need for the community, and one example is used to capture everyday moments through photos or videos from the air. Among the models of UAV aircraft is the quadcopter, where there is a flight controller that functions to fly the quadcopter by adjusting the speed of each motor. The flight controller that is often used today is the Pixhawk manufacturer. The Pixhawk module is an integrated system that the factory has provided, so it cannot be modified in terms of control and I/O. This research focuses on making an independent flight controller that can be used to fly a quadcopter. The control method that is implanted is Proportional Integral Derivative or commonly known as PID. The flight controller uses the PID control method to adjust each Brushless DC Motor (BLDC) speed to maintain stability while flying. From the test results, the quadcopter can fly stably with KP parameters of 2.5, KI of 0.6, and KD of 1.0. The response time in processing feedback is 3s.

Generation of music scale from brushless DC motor with surface permanent magnets

2012 ◽  
Vol 60 (6) ◽  
pp. 763-769
Author(s):  
Takeo Ishikawa ◽  
Ryo Ataka ◽  
Satoshi Azami ◽  
Michio Matsunami ◽  
Nobuyuki Kurita
Keyword(s):  
Permanent Magnets ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc

Optimization of the magnetic system of a brushless DC motor with rare-earth permanent magnets

2016 ◽  
Vol 87 (6) ◽  
pp. 347-351 ◽  
Author(s):  
Ye. V. Volokitina ◽  
A. I. Vlasov ◽  
Yu. G. Opalev ◽  
O. A. Yurlova
Keyword(s):  
Rare Earth ◽  
Permanent Magnets ◽  
Magnetic System ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Brushless Dc

scholarly journals Adaptive Neuro Fuzzy Technique for Speed Control of Six-Step Brushless DC Motor

2021 ◽  
Vol 15 ◽  
pp. 63-72
Author(s):  
Hany Abdelfattah
Keyword(s):  
High Performance ◽  
Permanent Magnets ◽  
Fuzzy Inference ◽  
Dc Motor ◽  
Industrial Applications ◽  
Brushless Dc Motor ◽  
Inference System ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Neuro Fuzzy

The brushless DC motors with permanent magnets (PM-BLDC) are widely used in a miscellaneous of industrial applications. In this paper, The adaptive neuro fuzzy inference system (ANFIS) controller for Six-Step Brushless DC Motor Drive is introduced. The brushless DC motor’s dynamic characteristics such as torque , current , speed, , and inverter component voltages are showed and analysed using MATLAB simulation. The propotional-integral (PI) and fuzzy system controllers are developed., based on designer’s test and error process and experts. The experimential and hardware resuts for the inverter- driver circuits are presented. The simulation results using MATLAB simulink are conducted to validate the proposed (ANFIS) controller’s robustness and high performance relative to other controllers.

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