DocumentCode :
307026
Title :
Extracting projectile´s aerodynamic drag coefficient curve via high-order iterative learning identification
Author :
Chen, YangQuan ; Wen, Changyun ; Xu, Jian-Xin ; Sun, Mingxuan
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Volume :
3
fYear :
1996
fDate :
11-13 Dec 1996
Firstpage :
3070
Abstract :
A novel application of high-order iterative learning control (ILC) method is presented, which is for identifying or extracting a projectile´s optimal fitting drag coefficient curve Cdf from radar measured velocity data. The ILC method is shown to be effective for such an optimal tracking control problem (OTCP) with its performance index in a minimax sense and with an arbitrarily chosen initial `control´ Cdf. The curve identification results from real flight test data are compared and discussed for different high-order learning parameters to show the effectiveness of the proposed method
Keywords :
aerodynamics; ballistics; drag; identification; iterative methods; learning systems; optimal control; performance index; projectiles; aerodynamic drag coefficient curve; flight test data; high-order iterative learning control; high-order iterative learning identification; high-order learning parameters; optimal tracking control problem; performance index; projectile; Aerodynamics; Curve fitting; Data mining; Iterative methods; Optimal control; Radar applications; Radar measurements; Radar tracking; Velocity control; Velocity measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
ISSN :
0191-2216
Print_ISBN :
0-7803-3590-2
Type :
conf
DOI :
10.1109/CDC.1996.573594
Filename :
573594
Link To Document :
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