Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/15080
Title: Automated Multiple Water Tanks Control System Using ATMEGA and FPGA Technology
Authors: Lukman Adewale Ajao, Abdulzeez Olorundare Ajao
Muhammed Bashir Mua’zu, Abdulazeez Femi Salami
James, Agajo
Olatunde, Abisoye,
Keywords: Actuator, Automated system
, Intelligent microchip, Spartan-6 board, Water overflow
Issue Date: 2019
Publisher: 2019 IEEE 1st International Conference on Mechatronics, Automation and Cyber-Physical Computer System
Abstract: The automated multiple water tanks control system is designed and implemented for the usefulness of household, industries and manufacturing processes. Also, for the control and monitoring of water overflow or chemicals in the overhead tanks, as result of common wastage of water runoff from the overhead tanks. The system failure rate, and some relevant constraints are the challenges. It includes memory capacity, power consumption, wireless facilities and many others. The experimental design of this system was realized and demonstrated in the laboratory using ATmega microcontroller chip and FPGA technology. The proposed system experimentation was carried out to show the comparative performance of Field programmable gate array (FPGA) to its counterpart intelligent microchip (ATmega) application for industrial system manufacturing. In this research, an automated multiple water tanks control system was practically demonstrated in the laboratory to control the overflow and monitor the water level of the overhead tanks using ATmega 328 microchip, actuator (stepper motor), buzzer and others. The Xilinx 14.1 ISE was used for FPGA design, simulation and implementation on Spartan 6 FPGA development board. The experimental results from ModelSim simulator shows the system stability and efficiency which utilize total processing time of 4.99s, delay time of 6.557ns and total memory usage of 303192 kilobytes.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15080
ISSN: 2019
Appears in Collections:Computer Engineering

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