Design and Development of an Arduino Based Automated Solar Grass Trimmer

Citation

Thangavel, Bhuvaneswari and Venugopal, Chitra and Immanuel, Sarah and Raja, Joseph Emerson and Chua, Wei Chern (2024) Design and Development of an Arduino Based Automated Solar Grass Trimmer. International Journal on Robotics, Automation and Sciences, 6 (1). pp. 46-58. ISSN 2682-860X

[img] Text
551 - Published Version
Restricted to Repository staff only

Download (2kB)

Abstract

This paper focuses on the design of an Arduino-based Automated Solar Grass Trimmer with a primary emphasis on achieving high operational efficiency. A solar panel is utilized to automatically charge the battery when its level is low. A voltage level indicator circuit is incorporated to assess various battery voltage levels. The prototype integrates ultrasonic sensors for obstacle detection and inductive sensors for boundary detection. To ensure safe operation in the field, a perimeter signal generator circuit is constructed for boundary detection using inductive sensors. Ultrasonic sensors are employed for obstacle detection. The paper introduces an algorithm for detecting obstacles, boundaries, and other impediments in the path of the solar grass trimmer, illustrated through a comprehensive flowchart. Detailed discussions on the voltage level indicator circuit and boundary detection circuits are provided. The implemented algorithm, utilizing an Arduino microcontroller, is tested in the field, and the results are explained in the paper. Tabulated data from the prototype testing, specifically focusing on boundary detection and obstacle detection, demonstrate satisfactory performance.

Item Type: Article
Uncontrolled Keywords: Arduino Microcontroller, Perimeter Detection, Obstacle Detection, Solar, Grass Trimmer
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK7885-7895 Computer engineering. Computer hardware
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Mr. MUHAMMAD AZRUL MOSRI
Date Deposited: 06 Sep 2024 07:18
Last Modified: 06 Sep 2024 07:18
URII: http://shdl.mmu.edu.my/id/eprint/12967

Downloads

Downloads per month over past year

View ItemEdit (login required)