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김정한 ( Jung Han Kim ),박근범 ( Keun Bum Park ),송용규 ( Yong Kyu Song ),황익호 ( Ick Ho Hwang ),최동균 ( Dong Kyun Choi ) 한국항공운항학회 2010 한국항공운항학회지 Vol.18 No.3
This paper deals with the precise parameter estimation of an air vehicle without a priori information. First, Recursive Least Squares technique, which is an equation error method and does not require any a priori information, is applied and then the extended Kalman filter is used to tune parameters more precisely. To show the performance, a nonlinear longitudinal missile model is simulated and the parameters are estimated. The results show that this consecutive application of the techniques gives a very good estimation performance.
신경회로망과 순환최소자승법을 이용한 Skid-to-Turn 미사일의 공력 파라미터 추정
김윤환 ( Yun Hwan Kim ),박규법 ( Kyun Bub Park ),송용규 ( Yong Kyu Song ),황익호 ( Ick Ho Hwang ),최동균 ( Dong Kyun Cho ) 한국항공운항학회 2012 한국항공운항학회지 Vol.20 No.4
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.