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- Type of Document: Ph.D. Dissertation
- Language: Farsi
- Document No: 46679 (45)
- University: Sharif University of Technology
- Department: Aerospace Engineering
- Advisor(s): Malaek, Mohammad Bagher
- Abstract:
- The purpose of this thesis is to present a novel approach in Terrain Following/Terrain Avoidance (TF/TA) flight using Fuzzy Logic. The fuzzy logic can decide where and how the aircraft needs to change its altitude and/or heading angle. The method due to its fast decision making algorithms would be useful for on-line operation. It could also help design trajectories in an off-line manner. To achieve the above goal, the method effectively incorporates the dynamics of the aircraft and could handle tough terrains in terms of shape and peculiarities. The mathematical method basically, uses a special relationship among existing slope and slope derivative of the terrain together with aircraft flying speed and altitude height constructed by fuzzy logic. The fuzzification method is Sugeno. Three rule sets have been used for fuzzy structure. These rules are implemented by Fuzzy Logic Toolbox in MATLAB. Different case studies conducted for flights in XZ plane show the effectiveness of the method as compared to other methods available. The results illustrate a good tracking of the fuzzy approach by using 18 and 27 rules to optimal approach. It is shown that using 27 rules improves the solution slightly. This method offers a novel approach in Terrain Following/Terrain Avoidance (TF/TA) flight. The approach could also be expanded to a general 3/D flight. It can be used easily in an off-line design process. The novelty of this approach is making intelligence the off-line design process. The intelligence helps the aircraft to conduct a TF/TA manoeuvres by ignoring the small changes in the terrain
- Keywords:
- Optimal Motion ; Terrain Avoidance Maneuver ; Cost Function ; Fuzzy Logic ; Terrain Following Avoidance ; Low Level Flight
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