THE EFIGENIA EJ-1B MOZART: An S/VTOL Autonomous UAV Unmanned Aircraft Autocontrolled with an Intelligent Adaptive Digital Reconfigurable Guidance, Navigation and Flight Control System

2007 ◽  
Author(s):  
Mario Córdoba G.
Keyword(s):  
Control System ◽  
Flight Control ◽  
Unmanned Aircraft ◽  
Flight Control System

Design and Verification the Simulation System of UAS Flight Control Considering the Effects of Time Delay

2013 ◽  
Vol 278-280 ◽  
pp. 1746-1753
Author(s):  
Sheng Yi Yang ◽  
Sheng Jing Tang ◽  
Chao Liu ◽  
Jie Guo
Keyword(s):  
Control System ◽  
Time Delay ◽  
Real Time ◽  
Flight Control ◽  
Simulation System ◽  
Unmanned Aircraft ◽  
Flight Control System ◽  
The Real ◽  
The Stability ◽  
Hil Simulation

It had not been explored which real-time magnitude can meet the requirement of the simulation object in computer simulation system. Taking time delay into consideration, the influence of time delay on the stability of the low-altitude and low-speed small Unmanned Aircraft Systems (UAS) flight control system had been analyzed and the real-time magnitude of the miniature hardware-in-loop (HIL) simulation system was determined. Then a miniature HIL simulation system of the UAS flight control system was designed to prove the real-time magnitude feasibility. The result shows the real-time magnitude by time delay analysis can meet the requirements of flight control system.

scholarly journals MODELLING OF THE UNMANNED AERIAL VEHICLES FLIGHT CONTROL SYSTEM

Aviation ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 79-85
Author(s):  
Mirosław Adamski
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Flight Control ◽  
Aerodynamic Drag ◽  
Unmanned Aircraft ◽  
Simulation Program ◽  
Flight Control System ◽  
Aerial Vehicles ◽  
Aerial Vehicle

The article is an independent work containing the author’s ingenious research methodology and the model of the control system of Unmanned Aerial Vehicles. Furthermore a unique and world first mathematical model of an Unmanned Aerial Vehicle was developed, as well as a simulation program which enabled to investigate the control system of any Unmanned Aerial Vehicles in the tilt duct pitch (altitude), bank (direction), deviation and velocity, depending upon the variable values of the steering coefficient, reinforcement coefficient and the derivative constant. The research program was written in the language of the C++ as the MFC class, on the MS Visual Studio 2010 platform. The main issue resolved in the article is the pioneering research of the process of control during manual and semi-automatic guidance of the Unmanned Aerial Vehicle, with a jet propulsion system to the coordinates of preset points of the flight route. Modelling of the flight control system takes into account: the logical network of operations of the simulation program, the pilot-operator model, the set motion and control deviations as well as the flight control laws. In addition, modeling of the control system takes into account the drive model, engine dynamics, engine thrust, the model of steering actuators and the model of external loads. In contrast, the external load model takes into account the external forces acting on the unmanned aircraft, including gravitational forces and moments, aerodynamic forces and moments, aerodynamic drag, aerodynamic lateral forces, aerodynamic lift forces, aerodynamic heeling moment, mechanism of local angle of attack from damping torque and forces and moments from the engine.

scholarly journals Reliable flight control system architecture for agile airborne platforms: an asymmetric multiprocessing approach

2019 ◽  
Vol 123 (1264) ◽  
pp. 840-862 ◽  
Author(s):  
Shibarchi Majumder ◽  
Jens Frederik Dalsgaard Nielsen ◽  
Thomas Bak ◽  
Anders la Cour-Harbo
Keyword(s):  
Control System ◽  
Flight Control ◽  
Unmanned Aircraft ◽  
Flight Control System ◽  
Fpga Chip ◽  
Distributed Implementation ◽  
Aircraft System ◽  
On Chip ◽  
Control System Architecture ◽  
Critical Subsystems

AbstractSystem software subsystems in an unmanned aircraft system share hardware resources due to space, weight, and power constraints. Such subsystems have different criticality, requirements, and failure rates, and can cause undesired interference when sharing the same hardware. A component with high failure rate can reduce the reliability of the system unless a fault containment mechanism is adopted.This work proposes an asymmetric multiprocessor architecture to establish isolation at the hardware level for distributed implementation of safety-critical subsystems along with user defined payload subsystems on the same hardware with minimally reduced reliability of the system. To achieve that, subsystems are strategically segregated in separate processors, connected to an on-chip protective interconnect for inter-processor communications. A custom watchdog and reset mechanism are implemented to reset a specific processor without affecting the entire system if required. The architecture is demonstrated on a FPGA chip. In addition, an example of an optimised distribution is provided for a specific flight control system with five subsystems.

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