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Intelligent autolanding controller design using neural networks and fuzzy logic
, Article 2004 5th Asian Control Conference, Melbourne, 20 July 2004 through 23 July 2004 ; Volume 1 , 2004 , Pages 365-373 ; 0780388739 (ISBN) ; Sadati, N ; Izadi, H ; Pakmehr, M ; Sharif University of Technology
2004
Abstract
Designing an intelligent controller for landing phase of a jet transport aircraft in presence of different wind patterns, in order to expand the flight safety envelope has been considered. There are some dangerous conditions like gusts and downbursts which may occur rarely in service life of aircraft, though, aircraft must be tested for these dangerous conditions. Then it is desired to design a controller that not only acts well in usual conditions but also has an acceptable performance in those hazardous conditions. Four different types of controllers have been designed named PID, Neuro, hybrid Neuro-PID and Anfis-PID (Adaptive Network-based Fuzzy Inference System) controllers. Simulation...
Modeling and Design Analysis of an Aircraft Longitudinal Reversible Flight Control System and its Enhancement to Irreversible One
, M.Sc. Thesis Sharif University of Technology ; Pourtakdoust, Hossien (Supervisor) ; Raeesi Charmkani, Kamran (Supervisor)
Abstract
Flight control system (FCS) design, analysis and modeling has an important role in aircraft design and development process. However, FCS analysis and studies are rarely focused at university levels and its know-how and technical issues are almost proprietary to various aircraft industries. One of the key goals of this thesis is to express, introduce and implement the processes that need to be followed for a sample longitudinal reversible FCS design (RFCS), where the modelling aspects are described for an existing aircraft. The latter is achieved using existing drawings, system and aerodynamic data of an existing aircraft utilizing commercial tools such as CATIA for initial design and ADAMS...