scholarly journals Electromagnetic Braking System using Ultrasonic Sensor

2021 ◽  
Vol 7 (4) ◽  
pp. 1-4
Author(s):  
Mohd. Sabir Khan ◽  
Arun Kumar Rao ◽  
Naresh Choudhary ◽  
Jeetendra Kumar Sharma ◽  
Tejeshwar Tejeshwar ◽  
...  
Author(s):  
Muhammad Arsalan ◽  
Faraz Akbar

Traffic congestion has been the most tiresome encounter since the initiation of vehicle advancement. Many braking systems have been designed by researchers in previous studies, but this study is primarily focused on a braking system that is affordable to all because it is based on a simple Arduino-controlled system. Moreover, it is assistive on everyday traffic commutes rather than highway driving, which is relatively rare for normal drivers. As more and more vehicles crowd the roads, the more problematic it is becoming for the drivers, which is ultimately leading toward increment in the frontal car accidents. In this study, an electro-mechanical braking system has been deployed that assists the driver during the jam-packs by measuring the exact distance between the driven and forthcoming vehicle or any obstacle by applying the brakes without the driver pressing the brake pedal to ultimately bring the vehicle to a halt without any fear of vehicle collision. An ultrasonic sensor is used at the front bumper grille that measures the distance between the two closing vehicles. The total time to halt the vehicle has been calculated as 0.6 s, while the critical distance for the sensor has been set as 1-m. Furthermore, the stepper motor drivers are set at the maximum current output of 2.5 amps with a 12-volt battery connected in parallel to the motors. It is found that theoretical stopping time is in good agreement with the experimental stopping time to completely press the brake pedal and halt the car.


Author(s):  
Vinod Handi ◽  
S. Jeyanthi ◽  
A. Giridharan

The main objective of this paper is to develop an automated braking system to avoid frontal collision of the vehicle due to driver inattentiveness. The working model comprises of automated braking system which includes ultrasonic sensor, bike brake system, high torque motor, microcontroller, motor driver, battery, double acting cylinder and solenoid valves. An algorithm is proposed for automated braking system. The proposed working model is validated with experimental results. The ultrasonic sensor is validated for distance measurement and the sensor predicts the distance with an error of 3.31 percent.


CICTP 2020 ◽  
2020 ◽  
Author(s):  
Xuebo Li ◽  
Jian Ma ◽  
Xuan Zhao ◽  
Lu Wang ◽  
Haichao Lan

2020 ◽  
Vol 6 (2) ◽  
pp. 147-153
Author(s):  
Muhamad Yusup ◽  
Po. Abas Sunarya ◽  
Krisandi Aprilyanto

System The process of counting and storing in a manual water reservoir analysis has a high percentage of error rate compared to an automated system. In a company industry, especially in the WWT (Waste Water Treatment) section, it has several reservoir tanks as stock which are still counted manually. The ultrasonic sensor is placed at the top of the WWT tank in a hanging position. Basically, to measure the volume in a tank only variable height is always changing. So by utilizing the function of the ultrasonic sensor and also the tube volume formula, the stored AIR volume can be monitored in real time based on IoT using the Blynk application. From the sensor, height data is obtained which then the formula is processed by Arduino Wemos and then information is sent to the MySQL database server via the WIFI network.


2015 ◽  
Vol 135 (5) ◽  
pp. 145-151 ◽  
Author(s):  
Tsunehisa Tanaka ◽  
Shuichi Murakami ◽  
Mayumi Uno ◽  
Kaoru Yamashita
Keyword(s):  

2018 ◽  
Vol 138 (9) ◽  
pp. 441-447
Author(s):  
Kensuke Kageyama ◽  
Takeru Orikasa ◽  
Ahmad Zarif Afiq Bin Jamaludin ◽  
Takenobu Sakai
Keyword(s):  

Author(s):  
Varun Kumar ◽  
Lakshya Gaur ◽  
Arvind Rehalia

In this paper the authors have explained the development of robotic vehicle prepared by them, which operates autonomously and is not controlled by the users, except for selection of modes. The different modes of the automated vehicle are line following, object following and object avoidance with alternate trajectory determination. The complete robotic assembly is mounted on a chassis comprising of Arduino Uno, Servo motors, HC-SRO4 (Ultrasonic sensor), DC motors (Geared), L293D Motor Driver, IR proximity sensors, Voltage Regulator along with castor wheel and two normal wheels.


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