Path Tracking Pada Unmanned Aerial Vehicle Menggunakan Algoritma Guidance Logic dan Fuzzy-PID Kontroler

Arighi, Ahmad Kevin (2025) Path Tracking Pada Unmanned Aerial Vehicle Menggunakan Algoritma Guidance Logic dan Fuzzy-PID Kontroler. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Unmanned Aerial Vehicle (UAV) telah mendapatkan perhatian yang signifikan untuk berbagai aplikasi karena telah banyak menggantikan pekerjaan manusia, termasuk survei, pemantauan lingkungan, dan pengiriman barang. Penelitian ini fokus pada mengatasi tantangan pelacakan lintasan pada UAV dengan menggunakan algoritma guidance logic serta fuzzy-PID Kontroler. Tujuan dari penelitian ini adalah mengembangkan sistem kontrol yang efektif untuk memungkinkan UAV melakukan misi berupa path tracking secara presisi sehingga dapat mengikuti lintasan yang sudah direncanakan. Terhadap permasalahan ini, penulis menggunakan algoritma guidance logic dan metode kontrol UAV dengan menggunakan fuzzy-PID kontroller untuk mengatasi path tracking. Hasil simulasi menunjukkan bahwa pendekatan fuzzy-PID dan algoritma guidance logic yang digunakan mampu menghasilkan akurasi lintasan yang baik dalam melaksanakan tugas path tracking. Tugas akhir ini diharapkan dapat memberikan kontribusi signifikan dalam pengembangan sistem kontrol UAV, khususnya dalam aplikasi path tracking yang membutuhkan ketepatan dan keandalan tinggi.
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Unmanned Aerial Vehicles (UAVs) have gained significant attention for a variety of applications as they have replaced many human jobs, including surveying, environmental monitoring, and goods delivery. This research focuses on overcoming the challenges of trajectory tracking on UAVs by using guidance logic algorithm and fuzzy-PID controllers. The goal of this research is to develop an effective control system to enable the UAV to perform its path tracking mission with precision so that it can follow the planned trajectory. Against this problem, the authors used the guidance logic algorithm and UAV control method using fuzzy-PID controller to solve the path tracking. Simulation results show that the fuzzy-PID approach and the guidance logic algorithm used are able to produce good trajectory accuracy in carrying out the path tracking task. This final project is expected to contribute significantly to the development of UAV control systems, especially in path tracking applications that require high accuracy and reliability.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Algoritma Guidance Logic, Fuzzy-PID, Path Tracking, Unmanned Aerial Vehicle (UAV). Unmanned Aerial Vehicle (UAV), Path Tracking, Guidance Logic Algorithm, Fuzzy-PID Controller.
Subjects:	U Military Science > UG1242 Drone aircraft--Control systems. (unmanned vehicle)
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Ahmad Kevin Arighi
Date Deposited:	24 Jan 2025 06:49
Last Modified:	24 Jan 2025 06:49
URI:	http://repository.its.ac.id/id/eprint/116817

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