[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.12985/ksaa.2012.20.4.007

Estimation of Aerodynamic Coefficients for a Skid-to-Turn Missile using Neural Network and Recursive Least Square

Kim, Yun-Hwan (한국항공대학교 대학원 항공우주 및 기계공학과)
Park, Kyun-Bub (한국항공대학교 대학원 항공우주 및 기계공학과)
Song, Yong-Kyu (한국항공대학교 항공우주 및 기계공학부)
Hwang, Ick-Ho (국방과학연구소)
Choi, Dong-Kyun (국방과학연구소)

Publication Information

Journal of the Korean Society for Aviation and Aeronautics / v.20, no.4, 2012 , pp. 7-13 More about this Journal

Abstract

This paper is to estimate aerodynamic coefficients needed to determine the missiles' controller design and stability from simulation data of Skid-to-Turn missile. Method of determining aerodynamic coefficients is to apply Neural Network and Recursive Least Square and results were compared and researched. Also analysing actual flight test data was considered and sensor noise was added. Estimate parameter of data with sensor noise added and estimated performance and reliability for both methods that did not need initial values. Both Neural Network and Recursive Least Square methods showed excellent estimate results without adding the noise and with noise added Neural Network method showed better estimate results.

Keywords

Parameter Estimation; Recursive Least Squares; Neural Network; Air Vehicle; STT missile;

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)

Reference
Cited By KSCI

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KSCI

Estimation of Aerodynamic Coefficients for a Skid-to-Turn Missile using Neural Network and Recursive Least Square 신경회로망과 순환최소자승법을 이용한 Skid-to-Turn 미사일의 공력 파라미터 추정

Estimation of Aerodynamic Coefficients for a Skid-to-Turn Missile using Neural Network and Recursive Least Square