DINI, DIAH RAHMAH and Suprapto, Bhakti Yudho (2022) SISTEM KENDALI POSISI PADA PERGERAKAN AUTONOMOUS ELECTRIC VEHICLES MENGGUNAKAN METODE FUZZY LOGIC. Undergraduate thesis, Sriwijaya University.
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Abstract
Autonomous electric vehicle is an autonomous vehicle designed to be driven automatically without a crew controlling it. Autonomous electric vehicle are very much needed by the community because they can make it easier to drive a vehicle. For this reason, a control system is needed that can make autonomous electric vehicle run properly. This control system can use various methods, one of which is using the fuzzy method. In this study, using the Sugeno fuzzy logic method to control the position of the movement of autonomous electric vehicle with the input used is the direction to the destination, the position of the destination and the distance to the intended target and the output is the movement of the motor. This research was conducted in two locations, namely at Sriwijaya University, Palembang Campus and Indralaya Campus, on autonomous electric vehicle. In this study autonomous electric vehicle were able to reach the destination position with the motor movement output on the autonomous electric vehicle which was read according to the fuzzy that had been created. The results of this study indicate that the control system using the fuzzy logic method works well.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | MPU6050, Ublox Neo M8N, Kendali Posisi, Autonomous Electric Vehicle, Fuzzy Logic. |
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: | Diah Rahmah Dini |
Date Deposited: | 27 Jul 2022 05:01 |
Last Modified: | 27 Jul 2022 05:01 |
URI: | http://repository.unsri.ac.id/id/eprint/74864 |
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