Optimasi Shimmy Damper Pada Nose Landing Gear Boeing 777-300ER Dengan Metode Genetic Algorithm Untuk Kenyamanan Pilot Berdasarkan Standar ISO 2631

Widhiarti, Siwi Suksma (2025) Optimasi Shimmy Damper Pada Nose Landing Gear Boeing 777-300ER Dengan Metode Genetic Algorithm Untuk Kenyamanan Pilot Berdasarkan Standar ISO 2631. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Fenomena getaran pada nose landing gear pesawat saat pendaratan dapat memengaruhi kenyamanan dan keselamatan pilot, terutama akibat efek shimmy. Getaran ini dipicu oleh
berbagai faktor seperti tekanan ban yang tidak optimal, ketidakseimbangan roda, serta kondisi eksternal seperti landasan pacu dan cuaca. Penelitian ini bertujuan untuk mengoptimalkan nilai kekakuan pegas dan konstanta redaman shimmy guna meminimalkan percepatan yang dirasakan oleh pilot berdasarkan standar ISO 2631. Pemodelan dilakukan dengan pendekatan sistem delapan derajat kebebasan (8 DOF) pada konfigurasi tricycle landing gear. Optimasi parameter dilakukan menggunakan algoritma genetika (genetic algorithm) yang dikombinasikan dengan simulasi berbasis MATLAB Simulink. Evaluasi dilakukan dengan menganalisis respons dinamis pilot terhadap eksitasi sinusoidal dan impuls guna mengukur efektivitas parameter optimasi yang diperoleh. Hasil optimasi shimmy damper nose landing gear BOEING 777-300ER dengan metode Genetic Algorithm berhasil menurunkan nilai kekakuan pegas dari 8000 N/m menjadi 8993.91 N/m dan meningkatkan koefisien redaman dari 14915 Ns/m menjadi 17356.95 Ns/m, membuat sistem lebih lentur dan efektif meredam getaran. Percepatan vertikal akibat input sinusoidal turun dari 0.237 m/s² menjadi 0.0153 m/s², sedangkan respon terhadap input impuls menurun dari 0.631 m/s² menjadi 0.193 m/s². Hasil ini menunjukkan peningkatan signifikan pada kenyamanan dan keamanan pilot, dengan respon getaran yang kini berada jauh di bawah batas ISO 2631.
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The phenomenon of vibration in an aircraft's nose gear during landing can have a detrimental effect on pilot comfort and safety, particularly due to the shimmy effect. These vibrations are caused by various factors such as non-optimal tire pressure, wheel imbalance, and external conditions such as the runway and the weather. Based on the ISO 2631 standard, this study aims to optimize the spring stiffness and shimmy damping constant values to minimize the acceleration felt by the pilot. The modeling is carried out with an eight degrees of freedom (8 DOF) system approach to the three-legged configuration of the landing gear. Parameter optimization was performed using genetic algorithms combined with MATLAB Simulink-based simulation. The results of this research are expected to improve the pilot's stability and comfort during landing. It will also serve as a reference for the development of a more adaptive nose landing gear suspension system that meets aviation safety standards. The optimization result of the BOEING 777-300ER nose landing gear shimmy damper by genetic algorithm method successfully decreased the spring stiffness value from 8,000 N/m to 465.50 N/m and increased the damping coefficient from 14,915 Ns/m to 54,840.19 Ns/m. This
alteration rendered the system more flexible and effective in damping vibration. The vertical acceleration due to sinusoidal input exhibited a decrease from 0.237 m/s² to 0.0153 m/s², while the response to impulse input demonstrated a reduction from 0.631 m/s² to 0.193 m/s². The
findings indicate substantial enhancements in pilot comfort and safety, with the vibration response now falling well below the ISO 2631 limits.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Genetic Algorithm, Nose Landing Gear, Shimmy Damper, ISO 2631
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL671.9 Airplanes--Maintenance and Repair
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Mechanical Engineering > 21201-(S1) Undergraduate Thesis
Depositing User:	Siwi Suksma Widhiarti
Date Deposited:	31 Jul 2025 04:39
Last Modified:	31 Jul 2025 04:39
URI:	http://repository.its.ac.id/id/eprint/123746

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