Similarity: Optimized Neural Network-Direct Inverse Control for Attitude Control of Heavy-Lift Hexacopter

Suprapto, Bhakti Yudho (2022) Similarity: Optimized Neural Network-Direct Inverse Control for Attitude Control of Heavy-Lift Hexacopter. Turnitin Universitas sriwijaya, JOURNAL OF TELECOMMUNICATION, ELECTRONIC AND COMPUTER ENGINEERING (JTEC).

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Abstract

Abstract—This paper discusses a neural network based on direct inverse control (DIC) to control the roll, pitch, and yaw in maintaining the hovering condition of a heavy-lift hexacopter. To improve the control of the hexacopter, the authors propose a DIC-optimized method of retraining the inverse model using new data collected from optimal motions of the hexacopter generated by the desired input. The experiment showed that both the DIC model and the DIC-optimized model had good performances with small MSSE values; however, the latter was more effective than the former.

Item Type: Other
Subjects: #3 Repository of Lecturer Academic Credit Systems (TPAK) > Results of Ithenticate Plagiarism and Similarity Checker
Divisions: 03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User: Mr. Bhakti Suprapto
Date Deposited: 18 Apr 2023 09:01
Last Modified: 18 Apr 2023 09:01
URI: http://repository.unsri.ac.id/id/eprint/94799

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