Aircraft Take Off and Landing Using Fuzzy Logics

9736 WordsMar 3, 201339 Pages
CANDIDATE’S DECLARATION I hereby certify that the work which is being presented in the project entitled “AIRCRAFT TAKE-OFF AND LANDING CONTROL SYSTEM USING FUZZY LOGIC CONTROLLER’’ in the partial fulfilment of requirements for the Award of degree of M.Tech (Electronics and Communication Engineering) submitted in the Department of Electronics and Communication Engineering at GURU NANAK DEV ENGINEERING COLLEGE, LUDHIANA under PUNJAB TECHNICAL UNIVERESITY, JALANDHAR is my work done to study aircraft take-off and landing performance of aircraft and design a control system. The work presented in this project has not been submitted by me in any other university/Institute for the award of M.Tech degree. AMANDEEP KAUR This is to certify that…show more content…
42 4.17 AircraftFuzzyLogicController. 43 LISTOFTABLES Table No. Table Description Page No. 1. Blocksof Variables Involvedin Accident Probability Modeling. 5 2. A Characterization of control policies along three dimensions. 6 3. Pressure Altitude Correction. 11 4. Take-off Performance. 13 5. Maximum Rate of Climb Data. 16 6. Cruise and Range Performance. 18 NOMENCLATURE Abbreviation Description ANFIS Adaptive Neuro - Fuzzy Inference Systems FLC Fuzzy Logic Controller FIS Fuzzy Inference System LOC Locality of Control IAR Interpolation Among Rules IE Information Equity COAK Capture of Operator or Artisan Knowledge LA Local Adaptation EH Exception Handling GD Generalized Damping GCE Generalized Constraint Enforcement IOI Generalized Constraint Enforcement ISA International Standards Association OAT Outside Air Temperature POH Pilot Operating Handbook ABS Antilock-BrakingSystem PID Proportional-Integral-Derivative anfis Adaptive Network-based Fuzzy Inference System UAV UnmannedAerialVehicle CMAC Cerebellar Model Articulation Controller GA Genetic Algorithms ALS Automatic Landing Systems EMRANN Extended Minimum Resource AllocationNeural Network BTFC BaselineTrajectoryFollowingController SAFIS Sequential Adaptive Fuzzy Inference System

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