Rosli, Muhd Izwan Ikhmal (2016) Development of heavy duty automatic guided vehicle for industrial application (AGV). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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Abstract
With the improvement of robotic technologies nowadays, industrial application is adopting more aspect of automation to enhance product quality and accuracy to reduce product cost. Entitled as the development of heavy-duty Automatic Guided Vehicle (AGV), this project is about to develop a vehicle without drivers. It consists of mechanical body, rotational mechanism, microcontroller, sensor, and DC motors. AGV in this project is a mobile robot that follows line on the floor. An Arduino Uno Microcontroller will be used to reduce a cost and increase system performance instead of traditional AGV using PLC as controller. It is used to sequence the movement of the wheels by controlling the motors. The motor driver BTS7960 43A are used to controlled the movement of motor by adjusting the Pulse Width Modulation (PWM) to control the speed and direction. AGVs are widely used for transporting material in manufacturing and warehousing applications. On the development of heavy duty automatic guided vehicle, the specification is to implement the AGV to be used in industrial application. It is 1 meter in length, 0.6 meter in width and 0.3 meter in height. Its weight is about 8kg without load and the maximum weight it can carry is 30kg load on the top speed and low torque condition. In addition, a 255 Pulse Width Modulation (PWM) value is set up in the Arduino Uno coding, the motor is said to be on the top speed condition which is equal to 60 rpm and 2.724 N.m in torque for each motor.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Robots, Industrial, Automated guided vehicle systems |
Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery |
Divisions: | Library > Final Year Project > FKE |
Depositing User: | Nor Aini Md. Jali |
Date Deposited: | 07 Aug 2018 06:57 |
Last Modified: | 05 Mar 2025 02:19 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/21154 |
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