Simulation of Arduino Mega 2560 board controlling a variable frequency converter driving a BLDC motor

Mocanu, Vlad; Popov, Petrica; Dobref, Vasile

doi:10.1109/eeae49144.2020.9278996

Cited by 7 publications

(2 citation statements)

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“…To enable IoT support, the ESP8266 module was linked with the Arduino, while the Blynk mobile application serves as a platform for remotely controlling connected devices online. Vlad et al [36] worked on brushless DC motor speed regulation utilizing an Arduino-based driver controller.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of a microcontroller and resistive touchscreen-based speed monitoring and control system for DC motor

Adebisi,

Ogundare,

Erinosho

et al. 2023

IJAAS

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<span>Speed control is a key requirement in direct current (DC) motor applications where accuracy, reliability, flexibility, and safety are of high importance. In this study, a microcontroller and resistive touchscreen-based DC motor speed monitoring and control system were developed. The core components employed in the development of the system include Arduino ATMega328P microcontroller, thin film technology (TFT) resistive touch screen, L293D motor driver, and infrared (IR) sensor module. ATMega328P microcontroller is the brain of the system around which the overall circuit design was modeled. TFT resistive touch screen displays the motor speed and also, enables the users to set a desired speed. L293D motor driver regulates the voltage and current supplied to the motor, and a feedback loop comprising an IR sensor module ensures the maintenance of the motor speed at the desired level. A performance test was conducted on the developed system to ascertain its correct functionality. The developed speed monitoring and control system operated satisfactorily during testing; achieving a speed control in the range of 800 to 3000 rpm. The developed device is useful and can be scaled up for various domestic and industrial applications.</span>

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Section: Literature Reviewmentioning

confidence: 99%

Development of a microcontroller and resistive touchscreen-based speed monitoring and control system for DC motor

Adebisi,

Ogundare,

Erinosho

et al. 2023

IJAAS

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show abstract

“…It illustrates how control is centralized into the Jetson Nano computer and how data flows between the Arduino and the Jetson Nano. A motor driver accepts velocity and other parameters from the Arduino controller, sent out by the ROS program on the Jetson Nano and actuates the motor[23],[24].…”

mentioning

confidence: 99%

Conceptual design and simulation study of an autonomous indoor medical waste collection robot

Shaju

George

Francis

et al. 2023

IJRA

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Solid waste management is one of the critical challenges seen everywhere, and the coronavirus disease (COVID-19) pandemic has only worsened the problems in the safe disposal of infectious waste. This paper outlines a design for a mobile robot that will intelligently identify, grasp, and collect a group of medical waste items using a six-degree of freedom (DoF) arm, You Only Look Once (YOLO) neural network, and a grasping algorithm. Various designs are generated before running simulations on the selected virtual model using Robot Operating System (ROS) and Gazebo simulator. A lidar sensor is also used to map the robot's surroundings and navigate autonomously. The robot has good scope for waste collection in medical facilities, where it can help create a safer environment.

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Air quality monitoring system

Alansari,

Ateyah,

Aldaihani

et al. 2023

ETLTC-ICETM2023 INTERNATIONAL CONFERENCE PROCEEDINGS: ICT Integration in Technical Education &Amp; Entertainment Technologies A

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Simulation of Arduino Mega 2560 board controlling a variable frequency converter driving a BLDC motor

Cited by 7 publications

References 0 publications

Development of a microcontroller and resistive touchscreen-based speed monitoring and control system for DC motor

Development of a microcontroller and resistive touchscreen-based speed monitoring and control system for DC motor

Conceptual design and simulation study of an autonomous indoor medical waste collection robot

Air quality monitoring system

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