TY - JOUR
T1 - Unmanned Surface Vehicle Navigation Based on Gas Sensors and Fuzzy Logic Control to Localize Gas Source
AU - Radimas Putra, M. D.L.
AU - Rivai, Muhammad
AU - Irfansyah, Astria Nur
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2019/5/30
Y1 - 2019/5/30
N2 - Oil spills can damage marine ecosystems that threaten organisms living in water. Oil spills can also evaporate which can cause air and soil pollution around it. In this study, a prototype of an Unmanned Surface Vehicle (USV) has been constructed to localize gas source. This vehicle is equipped with two gas sensors to detect the presence of gas and predict the direction of the gas source. The gas concentration received by the two gas sensors determines the speed of each propeller motor to approach the gas target. The fuzzy logic control system is applied to the USV navigation. The result shows that the USV prototype is able to approach and locate the target with the average accuracy achieved in searching of gas source location is 90.1%.
AB - Oil spills can damage marine ecosystems that threaten organisms living in water. Oil spills can also evaporate which can cause air and soil pollution around it. In this study, a prototype of an Unmanned Surface Vehicle (USV) has been constructed to localize gas source. This vehicle is equipped with two gas sensors to detect the presence of gas and predict the direction of the gas source. The gas concentration received by the two gas sensors determines the speed of each propeller motor to approach the gas target. The fuzzy logic control system is applied to the USV navigation. The result shows that the USV prototype is able to approach and locate the target with the average accuracy achieved in searching of gas source location is 90.1%.
KW - USV Navigation
KW - fuzzy logic control
KW - gas sensors
UR - http://www.scopus.com/inward/record.url?scp=85067657866&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1201/1/012001
DO - 10.1088/1742-6596/1201/1/012001
M3 - Conference article
AN - SCOPUS:85067657866
SN - 1742-6588
VL - 1201
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012001
T2 - International Conference on Electronics Representation and Algorithm 2019, ICERA 2019
Y2 - 29 January 2019 through 30 January 2019
ER -
