Corresponding author : Kontrol Attitude Unmanned Ground Vehicle (UGV) menggunakan Backpropagation Neural Network

Suprapto, Bhakti Yudho (2020) Corresponding author : Kontrol Attitude Unmanned Ground Vehicle (UGV) menggunakan Backpropagation Neural Network. Universitas Muhammadiyah Palembang.

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Abstract

Unmaned Ground Vehicle (UGV) is a driverless vehicle that functions to facilitate human work in various fields such as transportation, industrial logistics activities, search and resque, defense and security, as well as several other fields. Attitude control is a problem because it requires accuracy due to the influence of speed. In addition, how the UGV follows the specified path also requires optimal attitude control. The purpose of this research is to design and test the performance and to know the level of success and accuracy of UGV control using the Backpropagaion Neural Network algorithm. From the test results, it was found that this algorithm successfully followed the test data provided with a small MSE value MSE value of 0.0135 for the constant acceleration circuit and 0.0135 to 0.0147 for the variable acceleration circuit.

Item Type:	Other
Subjects:	#3 Repository of Lecturer Academic Credit Systems (TPAK) > Corresponding Author
Divisions:	03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User:	Mr. Bhakti Suprapto
Date Deposited:	02 May 2023 14:36
Last Modified:	02 May 2023 14:36
URI:	http://repository.unsri.ac.id/id/eprint/98916

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