DocumentCode :
1863795
Title :
Discrete flight path angle tracking control of hypersonic flight vehicles via multi-rate sampling
Author :
Xu, Bin ; Wang, Danwei ; Yang, Chenguang ; Li, Jing ; Wang, Shixing
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2012
fDate :
3-5 Sept. 2012
Firstpage :
713
Lastpage :
718
Abstract :
This paper presents the flight path angle tracking control of the longitudinal dynamics of a generic hypersonic flight vehicle(HFV). Due to the use of digital computers and microprocessors for controls applications, the discrete hypersonic flight control is investigated. The altitude command is transformed into the flight path angle information. The back-stepping scheme is applied for the attitude subsystem which includes flight path angle, pitch angle and pitch rate. The virtual control is designed with nominal feedback and Neural Network (NN) approximation. To use the information of throttle setting, the multi-rate sampling method is employed for the two subsystems where the velocity subsystem is considered as slow dynamics. Under the proposed controller, the semiglobal uniform ultimate boundedness (SGUUB) stability is guaranteed. The simulation is presented to show the effectiveness of the proposed control approach.
Keywords :
aircraft control; approximation theory; attitude control; digital control; discrete systems; feedback; microprocessor chips; neurocontrollers; stability; tracking; vehicle dynamics; altitude command; attitude subsystem; back-stepping scheme; controls application; digital computer; discrete flight path angle tracking control; discrete hypersonic flight control; flight path angle information; generic hypersonic flight vehicle; longitudinal dynamics; microprocessor; multirate sampling method; neural network approximation; nominal feedback; pitch angle; pitch rate; semiglobal uniform ultimate boundedness stability; slow dynamics; throttle setting; velocity subsystem; virtual control design; Adaptation models; Approximation methods; Artificial neural networks; Educational institutions; TV; Uncertainty; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control (CONTROL), 2012 UKACC International Conference on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4673-1559-3
Electronic_ISBN :
978-1-4673-1558-6
Type :
conf
DOI :
10.1109/CONTROL.2012.6334717
Filename :
6334717
Link To Document :
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