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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 39998 (45)
- University: Sharif University of Technology
- Department: Aerospace Engineering
- Advisor(s): Malaekو Mohamadbagher
- Abstract:
- New electric Unmanned Aerial Vehicles (UAV) has unconventional methods for design and performance analyzing. Using the electric power sources and reduce power with time, cause to confusion about operating this type of planes, so new optimization methods are generated. This methods, can used for some part of flight and special problems and involve some assumptions. One of these new methods is using Singular Perturbation theory for prediction optimal path trajectory of Aerial Vehicles. In this research, we solve the optimal climb trajectory for an electric UAV in rested (no wind) atmosphere. Solution of this problem, involve some parameters such as velocity, altitude and flight path angle with some limitation about maximum load factor, maximum velocity, stall speed and saturation of control surface. Using singular perturbation methods and optimal control theories rule lead to high speed and accuracy of computer processing. This quality and development of this method to the sub/super-sonic aircraft trajectory optimization problem cause to use this method for in-flight guidance of UAV's and Autonomous this type of planes. Effect of weight, dimension and design parameter ( ) are discussed in final consequences. For example, research show increasing of weight lead to lower load factor to do same mission at same trajectory. However, load factor is decrease with increasing altitude for same trajectory and solution is function of initial and final value of flight parameters
- Keywords:
- Trajectory Optimization ; Load Factor ; Unmanned Aircrafts ; Singular Perturbation ; Autonomous System
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