DocumentCode :
3048759
Title :
Finite-horizon optimal linear control for autonomous soft landing of small-scale helicopter
Author :
Xia, Xiaohu ; Ge, Yunjian
Author_Institution :
Hefei Univ., Hefei, China
fYear :
2010
fDate :
20-23 June 2010
Firstpage :
1160
Lastpage :
1164
Abstract :
This paper addresses soft landing of miniature helicopter issue and suggests an optimal strategy to reduce the terminal error. As two conventional methods to solve two-point boundary value problems, matrix Riccati equations and transition matrix are applied in sequence to acquire high terminal accuracy in LQR control law design. The role of the transition matrix is elaborated. Simulations also show that extending final time can reduce the quadratic performance index effectively.
Keywords :
Riccati equations; aircraft control; boundary-value problems; control system synthesis; helicopters; linear quadratic control; matrix algebra; performance index; LQR control law design; autonomous soft landing; finite horizon optimal linear control; matrix Riccati equations; quadratic performance index; small scale helicopter; terminal error reduction; transition matrix; two point boundary value problem; Control systems; Helicopters; Intelligent sensors; Mathematical model; Moon; Optimal control; Riccati equations; Tail; Unmanned aerial vehicles; Vectors; Optimal linear control; matrix Riccati equations; transition matrix;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2010 IEEE International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-5701-4
Type :
conf
DOI :
10.1109/ICINFA.2010.5512302
Filename :
5512302
Link To Document :
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