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Simulation and analysis of aircraft dynamic response in the presence of system failures

Arif A.A.a, Sasongko R.A.a

a Institut Teknologi Bandung, Faculty of Mechanical and Aerospace Engineering, Indonesia

[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2018 Authors.Flight simulator development has been started since 1910, named Sanders Trainer, which is an aircraft replica on the ground. As computing technology began to grow rapidly at that time, a numerical computing device started to take over aircraft replicamodel simulator. Flight simulator has several classes based on its purpose and its qualification, those are Amateur Flight Simulation, Combat Flight Simulator, FAA Certified Simulator, and EASA Certified Simulator. One of the purposes of performing a flight simulation is to analyze air-craft stability in the various condition. Here, writers make a simulator platform which comprises aircraft observer, aircraft failure manipulator, and an aircraft model that accommodates failure model utilizing Matlab, Simulink, and X-Plane. The aircraft non-linear model accommodates failure scenario for engines and control surfaces whether it is inoperative or jammed. Both aircraft failure manipulator and observer GUI were made using Matlab. Aircraft motion then visualized on X-Plane using a python script. To analyze aircraft stability, the aircraft model, linearized with one or several components has failed at a certain operating point and given impulse input to obtain its state-space form. From linearization results, writers perform open-loop analysis to determine its stability, then the LQR method was used to make closed-loop feedback.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Flight dynamics,Matlab,Simulink,Stability,X-Plane[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]