Academic literature on the topic 'L298N Motor Driver'
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Journal articles on the topic "L298N Motor Driver"
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G.R, Dakshayini. "Gesture Driven Smart Car Using Arduino." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48123.
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ABSTRACT This project involves designing a gesture-controlled smart car using an Arduino Nano, MPU6050 sensor, L298N motor driver, and DC motors. The MPU6050 detects hand gestures, which are processed by the Arduino to control the car's motion (forward, backward, left, right, and stop). This intuitive system offers hands-free operation, with applications in robotics, assistive technology, and interactive demonstrations. It showcases Arduino-based robotics and sensor integration, with potential for wireless or autonomous upgrades. Keywords: Gesture-Controlled Smart Car, Arduino Nano, MPU6050 Sensor, L298N Motor Driver, DC Motors, Robotics, Sensor Integration, Hands-Free Control, Assistive Technology, Interactive Systems.
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Azhari, T. I. Nasution, and P. F. A. Azis. "MPU-6050 Wheeled Robot Controlled Hand Gesture Using L298N Driver Based on Arduino." Journal of Physics: Conference Series 2421, no. 1 (2023): 012022. http://dx.doi.org/10.1088/1742-6596/2421/1/012022.
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Abstract Robots are intelligent machines that are controlled by computer applications to perform various operations and services to complete high-risk jobs such as fire, poison, sharp objects, viruses, etc. MPU-6050 Serves as a movement medium in robot electronic systems where the robot moves. Arduino nano functions as a controller on a system robot that includes the MPU-6050, Motor Driver L298N, and NRF24L01. NRF24L01 Serves as a communication medium that is connected between the robot movement system and the hand gesture movement system. The L298N Motor Driver moves according to the signal sent by the MPU-6050 sensor. The L298N Motor Driver functions as an output medium that is made to the DC motor. The L298N Motor Driver will instruct the DC motor to move according to the signal sent by the MPU-6050 module. From the data obtained, the MPU-6050 works at a Y angle with an analog signal of 27.42 ° while driving. The MPU-6050 has X and Y axes with error values at X of 0.32% and Y of 0.48%. NRF24L01 functions as a command to send and receive data signals that work with a maximum range of 30 meters with a speed of 0.457 m/s.
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Swathi, Mrs K. "IoT Based Smart Home Automation System." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 331–36. http://dx.doi.org/10.22214/ijraset.2023.56506.
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The aim of this project is to control the lights, fans and detecting of fire and gas leakage at home using the IoT Blynk cloud platform, an ESP32, and an L298N motor driver. By doing so we can enable remote control of these devices, providing greater convenience and flexibility for the end-user. The ESP32 will act as the central hub of the project, receiving and processing data from the Blynk cloud platform. The L298N motor driver will be used to control the lights and fans, with the ESP32 sending signals to the driver to turn the devices on or off as required.
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Satriawan, I. Putu Gede Giri, I. Made Eri Setiadi, I. Putu Bagus Wisnu Saputra, et al. "Sistem kontrol otomatis dan monitoring temperatur ruangan menggunakan ESP-32 untuk mengendalikan motor DC pada motorized valve." Journal of Applied Mechanical Engineering and Green Technology 3, no. 3 (2022): 99–103. http://dx.doi.org/10.31940/jametech.v3i3.99-103.
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Sistem kontrol otomatis dan monitoring temperature ruangan menggunakan ESP-32 untuk mengendalikan motor DC pada motorized valve yang mengatur aliran air dingin pada AHU (air handling unit) adalah rancangan alat yang dibuat untuk mengontrol suhu pada suatu ruangan. Dengan adanya alat kontrol temperatur otomatis menggunakan mikrokontroler ESP-32, maka dapat menjadikan alternatif untuk kontrol suhu pada suatu ruangan. Alat kontrol temperature otomatis menggunakan mikrokontroler ESP-32, suatu buah sensor suhu termokopel MAX6675 untuk membaca suhu pada supply ducting AHU serta menggerakkan motorized valve dari 0%, 50%, dan 100%. Komponen yang digunakan untuk mengatur pergerakan motorized valve tersebut adalah motor driver L298N. Motor driver L298N ini berfungsi sebagai pengatur tegangan output motor yang di mana tegangan output tersebut diubah menjadi gelombang PWM yang mengatur pergerakan motorized valve, sehingga motorized valve dapat terbuka dari 0%, 50%, dan 100% sesuai dengan pembacaan suhu dari sensor suhu.
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Pranavi, Nikam, Sharma Sanya, Chavan Aman, Rajput Saakshi, and Sharma Anirudh. "A Voice-Activated Mobility Wheelchair Powered by Solar Energy." A Voice-Activated Mobility Wheelchair Powered by Solar Energy 8, no. 10 (2023): 6. https://doi.org/10.5281/zenodo.10033282.
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A smart wheelchair gives a person independence and ease. A smart wheelchair is a mechanically driven vehicle that can be easily operated by the user's hand for self-mobility. As a result, using the wheelchair's wheels requires less effort from the user. Additionally, this makes it possible for people who are physically or visually handicapped to go from one location to another. Only the movement of the person's hands will allow the wheelchair to travel forward, backward, left, and right, even if the person's body is completely or partially paralyzed. The wheelchair and the person can communicate wirelessly. In order to operate the experimental version of our system, a joystick that is attached to a NodeMCU transmitter is used to control the wheelchair. The wheelchair can also be controlled via voice instructions sent over Bluetooth from the Dabble smartphone application. In order to move the wheels in response to user input, the L298n motor driver needs help from the joystick signals and voice commands supplied to the receiver NodeMCU. The L298n that sits in between the microcontroller and the wheels aids in converting the voltage needed to operate the wheels.Keywords:- ESP32 Microcontroller, ESP8266 Microcontroller, NodeMCU, L298n Motor Driver, Dabble App, IR Sensor, Obstacle Detection.
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V. P. Kharkar, Dr. "Fully Automated Solar Grass Cutter." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–7. https://doi.org/10.55041/isjem02903.
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ABSTRACT— The paper demonstrates an analysis of a solar-powered grass cutter system which combines renewable technologies with automated features and remote control to resolve operational expenses and environmental damage and reduce labor requirement when maintaining turf. The equipment collects solar power from a high-performance solar panel before the stored energy gets saved in a rechargeable lithium battery which drives the BLDC motor for accurate grass trimming. An L298N motor driver together with an HC-05 Bluetooth module controls the movement of four DC gear motors through smartphone applications to provide enhanced functionality and safety. The methodology executes three stages starting with component selection and ending with system testing and evaluation of power efficiency and operational reliability and cutting precision under different testing conditions. The performance evaluation of the system reveals its competency in precise trimming with low energy usage while remaining environmentally sustainable yet acknowledges restrictions from solar power dependency along with restrictive Bluetooth distance. The technology serves residential gardens while operating in public parks as well as sports fields and agricultural farms and will gain capabilities from AI-based navigation and GPS integration along with IoT connectivity for self-operation in the future. The project presents an efficient sustainable technological system which advances toward establishing smart green law maintenance practices. Keywords- IoT Technology, L298N Motor Driver, HC-05 Module, BLDC Motor, Lawn Maintenance, Sustainable Technology, Solar Energy, Grass Cutter, Bluetooth Control
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Shahare, Girish, Aditya Tiwari, Manav Tiwade, Gaurav Umredkar, Uday Buradkar, and Puranashti Bhosale. "Mobile-Controlled River Cleaning Boat." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43741.
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Water pollution is a major environmental challenge, with floating waste in rivers and lakes contributing to ecological degradation. Our project, a WiFi-Controlled River Cleaning Boat, aims to provide an efficient and cost-effective solution for manual waste collection from water bodies. Unlike automated systems, our boat operates under direct human control, ensuring adaptability to different cleaning requirements. The system is powered by an ESP8266 WiFi module, enabling wireless control through a mobile application. A L298N motor driver facilitates the movement of the boat, allowing precise maneuvering in water. The boat's structure is designed for stability and ease of operation, incorporating a mechanical collection system to gather floating waste efficiently. By eliminating the need for Arduino and sensors, our design reduces complexity and cost while ensuring robust performance. The WiFi-based control system allows operators to guide the boat remotely, making it an accessible and effective tool for river cleaning. This project offers a practical, scalable, and environmentally friendly approach to maintaining clean water bodies. Key Words: IoT (Internet of Things), Water Surface Cleaning, ESP8266 WiFi Module, L298N Motor Driver, Gear Motors,
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R, Aditya. "Hassle - Free Load Carrying Using Automated Guided Vehicle." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29935.
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In today's rapidly evolving world, where efficiency and sustainability are paramount, businesses are seeking technologies that not only save time and drive profits but also align with their sustainable goals. In response to this demand, a prototype of an Automated Guided Vehicle (AGV) is developed.AGVs are versatile robotic platforms designed to navigate predefined paths while handling heavy loads of materials. The AGV system addresses these needs by utilizing cost-effective RFID tags and an RFID reader for efficient load tracking and navigation. Additionally, it incorporates two infrared (IR) sensors for path detection, an L298N motor driver for precise motor control, an Arduino microcontroller as the central processing unit, and an HC-05 Bluetooth module for wireless communication.By integrating these components, along with feedback control loops and path planning algorithms, The AGV is observed to be an efficient load carrier and can navigate reliably in dynamic environments. Above all, this solution not only saves time and enhances profitability but also promotes sustainability by optimizing resource utilization and minimizing manual intervention. Key Words: AGV(Automated Guided Vehicle),RFID(Radio Frequency Identification) tags, RFID (Radio Frequency Identification)reader, IR sensors, L298N Motor driver, Microcontroller.
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Ahuja, Piyyush. "Mind Controlled Robotic Wheelchair for Specially Abled People." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 2908–11. https://doi.org/10.22214/ijraset.2025.67953.
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The goal of this project is to develop a mind-controlled wheelchair designed specifically for individuals with physical disabilities. The system integrates advanced components and cutting-edge technology to enable seamless operation through wireless communication, physiological monitoring, and brain signal processing. Key components include the ESP32 microcontroller, an L298N motor driver, DC BO motors, and an EEG (electroencephalogram) sensor for comprehensive functionality. The wheelchair’s operation is powered by the ESP32, which serves as the primary controller, managing signal acquisition, processing, and wireless communication. The L298N motor driver and DC BO motors ensure precise and smooth wheelchair movement, while the robust instrumentation amplifier facilitates accurate processing of brain signals. Additionally, the integration of the EEG sensor allows for real-time brainwave signal monitoring, ensuring reliable command execution and user safety. This innovative system empowers users by enabling effortless navigation through brainwave commands. The integration of advanced electronic components, wireless communication modules, and precise signal processing techniques ensures reliable and efficient operation. The project highlights the application of cutting-edge technologies to create a functional and adaptive solution, enhancing mobility, independence, and safety for specially-abled individuals while paving the way for advancements in assistive technologies.
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Wang, Qiuli, Jiying Chen, Zimo He, Feiyang Han, and Jiayi Liu. "An Infrared Obstacle Avoidance Car Based on STM32." Academic Journal of Science and Technology 10, no. 1 (2024): 146–48. http://dx.doi.org/10.54097/vg434579.
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With the rapid development and wide application of artificial intelligence technology, the function of intelligent obstacle avoidance vehicle is becoming increasingly prominent. This article presents a design and realization method of infrared obstacle avoidance intelligent car based on STM32 MCU. The design is driven by two DC motors as main power sources. The motor drive circuit adopts L298N driver chip to control the DC motor to achieve the purpose of controlling the trolley. The infrared obstacle-avoidance sensor is used to judge obstacles and road conditions, and the distance between the car and obstacles is monitored in real time. The error caused by external physical condition can be eliminated by the calibration and optimization of the infrared obstacle avoidance module and the program of the single-chip microcomputer, so as to achieve the goal of accurate location of obstacles.
Book chapters on the topic "L298N Motor Driver"
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Pal, Soumayadeep, Parthib Banerjee, Avrajeet Ghosh, et al. "ADVANCED ROBOTICS IN DEFENCE AND MEDICAL APPLICATIONS." In Futuristic Trends in Robotics & Automation Volume 3, Book 1. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bbra1p3ch1.
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Development of Swarm Bot for Defence and Medical Application Design of Swarm bot is an initiative towards the synchronized performance of multiple bots as a total system consisting huge numbers of plain real-time bots. It is observed that an expected groupwise behavior is expressed from the interactions between the bots and the master device. The head posture movement is used to send the signal from the master device to communicate the slave devices. This methodology has come out in the field of artificial swarm intelligence, as well as the bio-inspired researches of insects and other fields in nature with the occurrence of swarm behavior. This process depends on the master-slave concept to operate the whole system. The wireless communication utilizes the SPI (Serial Peripheral Interface) protocol with radio waves in the range of 2.4-2.5 GHz. The ISM (Industrial Scientific Medical) band is used for the communication purpose. Development of Verticle Climbing Camouflage Surveillance Bot Scientists are trying to make vehicles that can move through both vertical and horizontal planes simultaneously for a long time. Moving against gravity makes it very difficult because of wheel spin in a steeply inclined surface plane. In this paper, we are dealing with the design and development of a WI-FI controlled bot that can move on both horizontal and vertical surfaces. The air suction technique is used to hold the bot on a vertically inclined surface. This paper presents the design and development of a wall climbing bot using an ESP32 CAM microcontroller. The wall climbing feature is achieved by using a 2200kv BLDC motor and 600 mm propeller. When the propeller is rotated using the BLDC motor, the propeller sucks the air underneath the robot, creating a vacuum. As a result, outside air pressure works on the robot and makes it stick to the horizontal surface. The robot`s movement is done by using 4 100 RPM dc motors. The motors are connected to the ESP32 microcontroller via motor driver L298N and can be manually controlled using any ESP32 Android/IOS mobile application. We have used the TCS3200 colour sensor and RGB LED lights to change the colour of the body as per the surroundings. The robot can be used for any surveillance purposes from general surveillance purposes to surveillance of hostile areas.
Conference papers on the topic "L298N Motor Driver"
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N, Rathika, Elumalai M, Alamelu K, Balachandran S, and Sri Devi G. "Bore Well Rescue System." In International Conference on Modern Trends in Engineering and Management (ICMTEM-24). International Journal of Advanced Trends in Engineering and Management, 2024. http://dx.doi.org/10.59544/tllo4166/icmtem24p11.
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This project proposes an innovative IoT based bore well child rescue system that integrates environmental monitoring and robotic intervention to enhance the efficiency of rescue operations. The system employs various components such as ESP8266, DHT11 sensor, gas sensor, ESP32 camera, servo motor with gripper, and an L298N driver controlling a DC gear motor for front and back rotation. The ESP8266 acts as the central communication hub, enabling real time data exchange between the rescue system and the control center. The DHT11 sensor monitors environmental conditions inside the bore well, providing crucial data on temperature and humidity. The ESP32 camera facilitates live video streaming, offering a comprehensive view of the bore well interior. The servo motor with gripper, controlled by the ESP32, is equipped to handle delicate operations within the confined space of the bore well. To maneuver within the bore well, a robotic system is integrated with a DC gear motor controlled by an L298N driver. This configuration enables precise front and back rotation, allowing the robotic system to navigate through the narrow and complex structure of the bore well. The integration of IoT technologies ensures seamless communication, while the robotic system enhances the precision and effectiveness of the rescue process. Overall, this proposed system deals with the risks associated with bore well rescues, ultimately minimizing response time and increasing the likelihood of successful outcomes.
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Oprea, Marin. "INTEGRATION OF ROBOTICS PROJECTS IN THE PRE-UNIVERSITY EDUCATIONAL ENVIRONMENT." In eLSE 2020. University Publishing House, 2020. http://dx.doi.org/10.12753/2066-026x-20-109.
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Our students must be prepared for the jobs of the future: smart home developer, specialist in human-robot interaction, augmented reality architect etc. They need to be encouraged to explore more, discover and understand how things work around them. Their training must be supported by Internet of Things (IoT), Robotics and Artificial Intelligence (AI) courses. These courses are part of the STEM educational model aimed to the integrated approach of Science, Technology, Engineering and Mathematics. The integration of these courses into school curriculum of pre-university education becomes a necessity. In this study I presented how to make two projects of Educational Robotics using the Arduino development platform and I analyzed, from the point of view of methodological efficiency, the results obtained by implementing in class such projects. In the first project I showed how a line follower robot can be made. For this purpose I used the Arduino Uno development board, two DC motors with gearbox, a line tracking module with IR proximity sensors and a L298N dual H-Bridge motor driver module. The sensors emit IR beams to the surface on which the robot is located. The radiation reflected by it is detected by sensors that produce signals proportional to the degree of reflectance of the respective surface. Specifically, white surfaces generate strong reflection signals while dark surfaces strongly absorb IR radiation, producing a very weak reflection phenomenon. The IR signal detected by the sensors is sent for analysis to the Arduino board. If its value exceeds a set threshold, Arduino sends a command to the motor driver that the robot path is changed to the minimum IR reflectance area. In the second project I presented how to make a obstacle avoiding robot. As in the first project, I used the Arduino Uno development board, mounted on a chassis fitted with two DC motors with gearbox, controlled by a L298N driver module. To avoid obstacles I used an ultrasonic HC-SR04 sensor. Additionally, for controlling the robot with an Android smartphone, I added a HC-06 Bluetooth module. The ultrasonic sensor emits impulses in the environment in which the robot moves. When ultrasonic waves encounter an obstacle they are reflected on it and received by the sensor. The captured signal is sent by the sensor to the Arduino board where it is processed, the distance between the sensor and the obstacle being calculated. If the value of this distance is below a set threshold level, Arduino sends a command to the motor driver to change the path of the robot, thus avoiding collision with the detected obstacle. In the final part of the article I performed a comparative analysis of the results obtained in the STEM type preparation by the classes of students who developed projects of Educational Robotics in relation to the classes that have gone in a traditional direction of preparation.
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Yin, Liuliu, Fang Wang, Sen Han, et al. "Application of drive circuit based on L298N in direct current motor speed control system." In International Symposium on Optoelectronic Technology and Application 2016, edited by Bingheng Lu and Huaming Wang. SPIE, 2016. http://dx.doi.org/10.1117/12.2246555.
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