DocumentCode :
1663273
Title :
Helicopter flight control using inverse optimal control and backstepping
Author :
Teimoori, Hamid ; Pota, Hemanshu R. ; Garratt, Matthew ; Samal, Mahendra Kumar
Author_Institution :
Sch. of Eng. & Inf. Technol, UNSW@ADFA, Canberra, ACT, Australia
fYear :
2012
Firstpage :
978
Lastpage :
983
Abstract :
This paper presents a hierarchical inner-outer loop-based scheme for flight control of a small unmanned helicopter in the presence of input time-delay. The controller is designed based on a two-time-scale separation architecture which includes a fast inner loop and a slow outer loop. The inner-loop (attitude controller) employs an inverse optimal control strategy, which circumvents the tedious task of numerically solving an online Hamilton-Jacobi-Bellman (HJB) equation to obtain the optimal controller. The designed controller is optimal with respect to a meaningful objective function which considers penalties for control input, angular position and angular velocity errors. The outer loop (position) controller uses the backstepping technique to control the position and keep the helicopter on track. Finally, computer simulations are conducted to validate the theoretical results and illustrate the tracking performance of the proposed control method.
Keywords :
attitude control; autonomous aerial vehicles; control system synthesis; delays; helicopters; mobile robots; optimal control; position control; robot dynamics; velocity control; HJB equation; Hamilton-Jacobi-Bellman equation; angular position; angular velocity; attitude controller; backstepping technique; controller design; helicopter flight control; hierarchical inner-outer loop-based scheme; input time delay; inverse optimal control; objective function; position control; tracking performance; two-time-scale separation architecture; unmanned helicopter; Attitude control; Backstepping; Equations; Helicopters; Mathematical model; Optimal control; Rotors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-1871-6
Electronic_ISBN :
978-1-4673-1870-9
Type :
conf
DOI :
10.1109/ICARCV.2012.6485290
Filename :
6485290
Link To Document :
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