SISTEM KENDALI KECEPATAN MENGGUNAKAN FUZZY LOGIC CONTROL PADA AUTONOMOUS ELECTRIC VEHICLE

HENDRIANSYAH, HENDRIANSYAH and Dwijayanti, Suci (2022) SISTEM KENDALI KECEPATAN MENGGUNAKAN FUZZY LOGIC CONTROL PADA AUTONOMOUS ELECTRIC VEHICLE. Undergraduate thesis, Sriwijaya University.

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Abstract

Technological advances in the automotive sector are marked by the presence of autonomous electric vehicles. This vehicle is useful to reduce the rate of traffic accidents due to human error. Speed control plays an important role for the autonomous electric vehicles. Nevertheless, the current speed control method relies on the sensor input so the performance of the speed control system is highly dependent on the accuracy of the sensors used. Thus, in this study, a speed control system was developed using input data from the camera as a sensor in the form of images and distances that have been identified using the You Look Only Once (YOLO) algorithm. The speed control system was implemented based on these inputs based on fuzzy logic control to control the speed of the autonomous electric vehicle. The the simulation using fuzzy rules in Matlab showed that the speed can be controlled properly using distance data from YOLO. When testing in real time, a fuzzy control system based on the distance reading input from the YOLO algorithm on an autonomous electric vehicle can be implemented. The results showed that the vehicle was able to control the speed according to the fuzzy rules that have been made. This car has a normal speed of 0 RPM to 120 RPM. The speed is reduced to 0-60 RPM if it detects an object in front of it at a distance of 0 - 8 m, and the speed would be normal when no object was detected in the way or the object is at a distance of more than 8 m. Keywords: Autonomous Electric Vehicle, YOLO, Object Detection, Speed Control, Fuzzy

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Autonomous Electric Vehicle, YOLO, Object Detection, Speed Control, Fuzzy
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK1 Electrical engineering--Periodicals. Automatic control--Periodicals. Computer science--Periodicals. Information technology--Periodicals. Automatic control. Computer science. Electrical engineering. Information technology.
Divisions:	03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User:	Hendriansyah Hendriansyah
Date Deposited:	08 Jun 2022 03:52
Last Modified:	08 Jun 2022 03:52
URI:	http://repository.unsri.ac.id/id/eprint/71969

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