Title :
Desired trajectory generation of a quadrotor helicopter using hybrid control for enhanced situational awareness
Author :
Astrov, Igor ; Pedai, Andrus ; Rüstern, Ennu
Author_Institution :
Dept. of Comput. Control, Tallinn Univ. of Technol., Tallinn, Estonia
Abstract :
This paper focuses on a critical component of the situational awareness, the control of autonomous vertical flight for an unmanned aerial vehicle. Autonomous vertical flight is a challenging but important task for tactical unmanned aerial vehicles to achieve high level of autonomy under adverse conditions. With the situational awareness strategy, we proposed a two stage flight control procedure using three autonomous control subsystems to address the dynamics variation and performance requirement difference in initial and final stages of flight trajectory for a nontrivial nonlinear quadrotor helicopter model. This control strategy for chosen helicopter model has been verified by simulation of hovering manoeuvres using software package Simulink and demonstrated good performance for fast situational awareness in real-time search-and-rescue operations.
Keywords :
air traffic control; aircraft control; helicopters; position control; remotely operated vehicles; autonomous control subsystems; autonomous vertical flight control; dynamics variation; flight trajectory; helicopter model; hovering manoeuvres; hybrid control; nontrivial nonlinear quadrotor helicopter; search-and-rescue operations; situational awareness; software package Simulink; tactical unmanned aerial vehicle; Aerospace control; Aerospace simulation; Automatic generation control; Automation; Helicopters; Hybrid power systems; Reconnaissance; Software packages; Unmanned aerial vehicles; Vehicle dynamics; flight control; quadrotor helicopter; simulation; situational awareness; unmanned aerial vehicle;
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
DOI :
10.1109/ICINFA.2010.5512295