Artificially Intelligent Autonomous Aircraft Navigation System Using a Distance Transform on an FPGA
نویسندگان
چکیده
This project is an artificially intelligent navigation system for use on board unmanned aerial vehicles (UAVs). The system takes the available input data and a user-defined mission statement, integrates the data, and produces navigation reference signals that are used by other systems to control the plane. Figure 1 shows the UAV navigation system block diagram, which is implemented in an Altera® Cyclone® FPGA. The output is continually updated based on the dynamic input from changes in the UAV or obstacle positions. The navigation system produces output signals to other UAV systems, e.g., a signal indicates that the UAV should land because the mission is complete or because an emergency landing is required.
منابع مشابه
Fuzzy Logic Based Approach to Design of Autonomous Landing System for Unmanned Aerial Vehicles
This paper is concerned with autonomous flight of UAVs and proposes a fuzzy logic based autonomous flight and landing system controller. Besides three fuzzy logic controllers which are developed for autonomous navigation for UAVs in a previous work as fuzzy logic based autonomous mission control blocks, three more fuzzy logic modules are developed under the main landing system for the control o...
متن کاملOscillation Control of Aircraft Shock Absorber Subsystem Using Intelligent Active Performance and Optimized Classical Techniques Under Sine Wave Runway Excitation (TECHNICAL NOTE)
This paper describes third aircraft model with 2 degrees of freedom. The aim of this study is to develop a mathematical model for investigation of adoptable landing gear vibration behavior and to design Proportional Integration Derivative (PID) classical techniques for control of active hydraulic nonlinear actuator. The parameters of controller and suspension system are adjusted according to be...
متن کاملDesign and Experimental Evaluation of integrated orientation estimation algorithm Autonomous Underwater Vehicle Based on Indirect Complementary Filter
This paper aims is to design an integrated navigation system constituted by low-cost inertial sensors to estimate the orientation of an Autonomous Underwater Vehicle (AUV) during all phases of under water and surface missions. The proposed approach relied on global positioning system, inertial measurement unit (accelerometer & rate gyro), magnetometer and complementary filter technique. Complem...
متن کاملIntelligent Auto pilot Design for a Nonlinear Model of an Autonomous Helicopter by Adaptive Emotional Approach
There is a growing interest in the modeling and control of model helicopters using nonlinear dynamic models and nonlinear control. Application of a new intelligent control approach called Brain Emotional Learning Based Intelligent Controller (BELBIC) to design autopilot for an autonomous helicopter is addressed in this paper. This controller is applied to a nonlinear model of a helicopter. This...
متن کاملHardware Design and Implementation of a MAVLink Interface for an FPGA-Based Autonomous UAV Flight Control System
This paper details the initial design and planning of a Field Programmable Gate Array (FPGA) implemented control system that will enable a path planner to interact with a MAVLink based flight computer. The design is aimed at small Unmanned Aircraft Vehicles (UAV) under autonomous operation which are typically subject to constraints arising from limited on-board processing capabilities, power an...
متن کامل