DocumentCode :
1924404
Title :
Model Predictive Control Research Based on Auto Landing System
Author :
Chen, Bei ; Cao, Wen-Lun ; Zhang, Hong-cai ; Le Feng
Author_Institution :
Northwestern Polytech Univ., Xian
Volume :
1
fYear :
2007
fDate :
19-22 Aug. 2007
Firstpage :
398
Lastpage :
402
Abstract :
Auto landing is a very complex stage of flight. Although percentage of auto landing to total flight is only 2~3%, about one third of flight accidents appear in this phase. Moreover half of flight accident of high speed jet-planes occur at this stage. In this paper, we discuss a kind of unmanned aerial vehicle which has a special figure and rigorous lateral requirements. Therefore this paper uses hierarchic control system which is made up of predictive controller plus traditional PID controller. The simulation results show MPC method can improve the landing precision efficiently; meanwhile control the roll angle rigorously.
Keywords :
aerospace control; predictive control; remotely operated vehicles; three-term control; PID controller; auto landing system; flight accidents; hierarchic control system; high speed jet planes; landing precision; model predictive control; unmanned aerial vehicle; Accidents; Control systems; Cybernetics; Machine learning; Open loop systems; Predictive control; Predictive models; Unmanned aerial vehicles; Vectors; Vehicle dynamics; Auto landing system; Dynamic atrix Control; Model Predictive control; Scroll optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
Type :
conf
DOI :
10.1109/ICMLC.2007.4370177
Filename :
4370177
Link To Document :
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