Fuzzy Logic Based Approach to Design of Flight Control and Navigation Tasks for Autonomous Unmanned Aerial Vehicles

Authors:
Sefer Kurnaz;Omer Cetin;Okyay Kaynak
Affiliations:
Turkish Air Force Academy, ASTIN, Istanbul, Turkey 34807;Turkish Air Force Academy, ASTIN, Istanbul, Turkey 34807;Department of Electrical and Electronic Engineering, Bogazici University, Istanbul, Turkey 80815
Venue:
Journal of Intelligent and Robotic Systems
Year:
2009

Citing 2
Cited 6

PID type fuzzy controller and parameters adaptive method

Fuzzy Sets and Systems
Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks

Automatica (Journal of IFAC)

Fuzzy Logic Based Approach to Design of Autonomous Landing System for Unmanned Aerial Vehicles

Journal of Intelligent and Robotic Systems
Selective method based on auctions for map inspection by robotic teams

IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
A simulation framework for UAV sensor fusion

HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Signatures: Definitions, operators and applications to fuzzy modelling

Fuzzy Sets and Systems
Development of a GPU Accelerated Terrain Referenced UAV Localization and Navigation Algorithm

Journal of Intelligent and Robotic Systems
Monocular Visual-Inertial SLAM-Based Collision Avoidance Strategy for Fail-Safe UAV Using Fuzzy Logic Controllers

Journal of Intelligent and Robotic Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a fuzzy logic based autonomous navigation controller for UAVs (unmanned aerial vehicles). Three fuzzy logic modules are developed under the main navigation system for the control of the altitude, the speed, and the heading, through which the global position (latitude---longitude) of the air vehicle is controlled. A SID (Standard Instrument Departure) and TACAN (Tactical Air Navigation) approach is used and the performance of the fuzzy based controllers is evaluated with time based diagrams under MATLAB's standard configuration and the Aerosim Aeronautical Simulation Block Set which provides a complete set of tools for rapid development of detailed six-degree-of-freedom nonlinear generic manned/unmanned aerial vehicle models. The Aerosonde UAV model is used in the simulations in order to demonstrate the performance and the potential of the controllers. Additionally, FlightGear Flight Simulator and GMS aircraft instruments are deployed in order to get visual outputs that aid the designer in the evaluation of the controllers. Despite the simple design procedure, the simulated test flights indicate the capability of the approach in achieving the desired performance.