Characterization of stepper motor rotation for automatic self-cleaning litter box using IoT technology

Mohd Said, Muzalifah and Mat Junos @ Yunus, Siti Aisah and Arith, Faiz and Jasni, Faiq Nazeer (2024) Characterization of stepper motor rotation for automatic self-cleaning litter box using IoT technology. International Journal of Academic Research in Business and Social Sciences, 14 (11). pp. 967-982. ISSN 2222-6990

Text 01237301220241249211547.pdf Available under License Creative Commons Attribution. Download (714kB)

Abstract

A project of the Internet of Things (IoT) concept that controls a system using an internet platform and an Android smartphone. Users can control the system remotely if they have internet data. The product requires a WIFI connection and power supply to turn on the system. This automated system uses several electronic components such as the NODEMCU ESP8266 microcontroller, stepper motor and motion sensor. The project includes a method to filter and separate pet feces automatically without the pet owner doing manual cleaning daily. At the same time, the system has a unique function to make it easier for users to add new sand to their pet litter box. This project studies and analyses the components involved in manufacturing automatic IoT litter box products, namely the stepper motor and servo motor by characterizing the accuracy of the rotation angle of continuous servo motor and stepper motor. The motor with the least angular accuracy error will be selected to improve performance using microstepping techniques and reduce the heating temperature by decreasing the current value. Using the proper type of motor will result in a high-quality product, and issues often experienced in industrial motor usage may be avoided.

Item Type:	Article
Uncontrolled Keywords:	Stepper motor, Servo motor, Microstepping, IoT litter box, Nodemcu ESP8266
Divisions:	Faculty Of Electronics And Computer Technology And Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	05 Mar 2025 10:28
Last Modified:	05 Mar 2025 10:28
URI:	http://eprints.utem.edu.my/id/eprint/28464
Statistic Details:	View Download Statistic

Actions (login required)

View Item