Suwisar, Sebastian and Boediardjo, Kirina and Budiarto, Eka (2015) Modeling, Simulating, and Analyzing Aircraft Flight Dynamics Using MATLAB and Simulink. Bachelor thesis, Swiss German University.

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Abstract

Automatic flight control has long been applied to aircrafts to ease the work of pilot during a long duration of flight. To really understand about how to design an automatic flight control system, the needs of studying the flight dynamics model is very important. Therefore, it requires extensive research in building a flight dynamics model and analyzing flight performance before design an automatic flight control. This thesis work's purpose is to develop a mathematical model for Boeing 737-300 aircraft, analyze the longitudinal flight dynamics, and optimize the performance of flight using PID controller. The flight condition to be analyzed is altitude control. PID controller is designed to fulfill the requirements for holding airspeed and holding altitude. Initially, the aircraft geometry of Boeing 737-300 is imported to DATCOM and the aerodynamics coefficients of the aircraft are generated. These aerodynamics coefficients are imported to the mathematical model which is built in Simulink. Finally, the simulation is performed in Simulink and graphs can be plotted to analyze the results. The model includes the 3-DOF body axis, engine, environment, main body aerodynamics, and elevator aerodynamics system. Aircraft parameters and simulation's initial conditions are represented in the model. The finding of this study shows that to automate the control of longitudinal flight dynamics model, it requires number of experiments in tuning the controller to finally achieve the desired condition for the output. It is also tested that in nonlinear model, static PID parameters has limited area of control.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Aircraft Simulation; Longitudinal Flight Dynamics; DATCOM; Simulink; PID Controller.
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics T Technology > TJ Mechanical engineering and machinery > TJ223 Microcontrollers
Divisions:	Faculty of Engineering and Information Technology > Department of Mechatronics Engineering
Depositing User:	Atroridho Rizky
Date Deposited:	23 Nov 2020 13:30
Last Modified:	23 Nov 2020 13:30
URI:	http://repository.sgu.ac.id/id/eprint/1537

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