scholarly journals Guidance and Control of an Autonomous Soaring Vehicle with Flight Test Results

2007 ◽  
Author(s):  
Michael Allen ◽  
Victor Lin
Keyword(s):  
Flight Test ◽  
Test Results ◽  
Guidance And Control ◽  
And Control ◽  
Autonomous Soaring

Integrated Adaptive Guidance and Control for Re-Entry Vehicles with Flight Test Results

2004 ◽  
Vol 27 (6) ◽  
pp. 975-988 ◽  
Author(s):  
John D. Schierman ◽  
David G. Ward ◽  
Jason R. Hull ◽  
Neha Gandhi ◽  
Michael Oppenheimer ◽  
...  
Keyword(s):  
Flight Test ◽  
Test Results ◽  
Guidance And Control ◽  
Adaptive Guidance ◽  
And Control

scholarly journals Lateral Control Implementation for an Unmanned Aerial Vehicle

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
R. Samar ◽  
M. Zamurad Shah ◽  
M. Nzar
Keyword(s):  
Flight Control ◽  
Flight Test ◽  
Practical Method ◽  
Roll Angle ◽  
Test Results ◽  
Guidance And Control ◽  
Yaw Rate ◽  
Guidance Law ◽  
Aerial Vehicle ◽  
And Control

This paper presents practical aspects of guidance and control design for UAV and its flight test results. The paper focuses on the lateral-directional control and guidance aspects. An introduction to the mission and guidance problem is given first. Waypoints for straight and turning flight paths are defined. Computation of various flight path parameters is discussed, including formulae for real-time calculation of down-range (distance travelled along the desired track), cross-track deviation, and heading error of the vehicle; these are then used in the lateral guidance algorithm. The same section also describes how to make various mission-related decisions online during flight, such as when to start turning and when a waypoint is achieved. The lateral guidance law is then presented, followed by the design of a robust multivariable H∞ controller for roll control and stability augmentation. The controller uses the ailerons and rudder for control of roll angle and stabilization of yaw rate of the vehicle. The reference roll angle is generated by the nonlinear guidance law. The sensors available on-board the vehicle do not measure yaw rate; hence, a practical method of its estimation is proposed. The entire guidance and control scheme is implemented on the flight control computer of the actual aerial vehicle and taken to flight. Flight test results for different mission profiles are presented and discussed.

Waypoint navigation for a micro air vehicle using vision-based attitude estimation

2006 ◽  
Vol 110 (1114) ◽  
pp. 821-829 ◽  
Author(s):  
J. J. Kehoe ◽  
R. S. Causey ◽  
M. Abdulrahim ◽  
R. Lind
Keyword(s):  
Micro Air Vehicles ◽  
Flight Test ◽  
Guidance And Control ◽  
Ground Station ◽  
Vision Processing ◽  
Critical Technology ◽  
Waypoint Navigation ◽  
Pitch Information ◽  
And Control ◽  
High Degree

Missions envisioned for micro air vehicles may require a high degree of autonomy to operate in unknown environments. As such, vision is a critical technology for mission capability. This paper discusses an autopilot that uses vision coupled with GPS and altitude sensors for waypoint navigation. The vision processing analyses a horizon to estimate roll and pitch information. The GPS and altitude sensors then command values to roll and pitch for navigation between waypoints. A flight test of a MAV using this autopilot demonstrates the resulting closed-loop system is able to autonomously reach several waypoints. The vehicle actually uses a telemetry link to a ground station on which all vision processing and related guidance and control is performed. Several issues, such as estimating heading to account for slow updates, are investigated to increase performance.

Thermal Centering Control for Autonomous Soaring; Stability Analysis and Flight Test Results

2012 ◽  
Vol 35 (3) ◽  
pp. 963-975 ◽  
Author(s):  
Klas Andersson ◽  
Isaac Kaminer ◽  
Vladimir Dobrokhodov ◽  
Venanzio Cichella
Keyword(s):  
Stability Analysis ◽  
Flight Test ◽  
Test Results ◽  
Autonomous Soaring

Flight Test of a Digital Guidance and Control System in a DC-IO Aircraft

1976 ◽  
Vol 13 (9) ◽  
pp. 676-686 ◽  
Author(s):  
S. S. Osder ◽  
D. C. Mossman ◽  
B. T. Devlin
Keyword(s):  
Control System ◽  
Flight Test ◽  
Guidance And Control ◽  
And Control

scholarly journals Dynamic Mission Planning for Communication Control in Multiple Unmanned Aircraft Teams

2013 ◽  
Vol 01 (01) ◽  
pp. 41-58 ◽  
Author(s):  
Andrew N. Kopeikin ◽  
Sameera S. Ponda ◽  
Luke B. Johnson ◽  
Jonathan P. How
Keyword(s):  
Path Loss ◽  
Task Assignment ◽  
Flight Test ◽  
Unmanned Aircraft ◽  
Test Results ◽  
System Failures ◽  
Unique Method ◽  
Communication Dynamics ◽  
Communication Control ◽  
And Control

A multi-UAV system relies on communications to operate. Failure to communicate remotely sensed mission data to the base may render the system ineffective, and the inability to exchange command and control messages can lead to system failures. This paper describes a unique method to control network communications through distributed task allocation to engage under-utilized UAVs to serve as communication relays and to ensure that the network supports mission tasks. This work builds upon a distributed algorithm previously developed by the authors, CBBA with Relays, which uses task assignment information, including task location and proposed execution time, to predict the network topology and plan support using relays. By explicitly coupling task assignment and relay creation processes, the team is able to optimize the use of agents to address the needs of dynamic complex missions. In this work, the algorithm is extended to explicitly consider realistic network communication dynamics, including path loss, stochastic fading, and information routing. Simulation and flight test results validate the proposed approach, demonstrating that the algorithm ensures both data-rate and interconnectivity bit-error-rate requirements during task execution.

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