DOI QR코드

DOI QR Code

Comparison of the Estimation-Before-Modeling Technique with the Parameter Estimation Method Using the Extended Kalman Filter in the Estimation of Manoeuvring Derivatives of a Ship

선박 조종미계수 식별 시 모델링 전 추정기법과 확장 Kalman 필터에 의한 계수추정법의 비교에 관한 연구

  • 윤현규 (한국해양연구원 해양시스템안전연구소) ;
  • 이기표 (서울대학교 조선해양공학과)
  • Published : 2003.10.01

Abstract

Two methods which estimate manoeuvring derivatives in the model of hydrodynamic force and moment acting on a manoeuvring ship using sea trial data were compared. One is the widely used parameter estimation method by using the Extended Kalman Filter (EKF), which estimates state variables of linearized state space model at every instant after dealing with the coefficients as the augmented state variables. The other one is the Estimation-Before-Modeling (EBM) technique, so called the two-step method. In the first step, hydrodynamic force of which dynamic model is assumed the third-order Gauss-Markov process is estimated along with motion variables by the EKF and the modified Bryson-Frazier smoother. Then, in the next step, manoeuvring derivatives are identified through the regression analysis. If the exact structure of hydrodynamic force could be known, which was an ideal case, the EKF method would be regarded as being more superior compared to the EBM technique. However the EBM technique was more robust than the EKF method from a realistic point of view where the assumed model structure was slightly different from the real one.

Keywords

References

  1. 강창구, 서상현, 김재신 1984 "시스템 검증법에 의한 조종성능 해석," 대한조선학회지, 제31 권 제 4 호, pp. 26-28
  2. 윤현규, 이기표 2001 "모델링 전 추정기법을 이용한 조종시운전시의 외력 및 조류 변수 추정," 대한조선학회지, 제 38 권 제 4 호, pp. 30-38
  3. Rhee, K.P., Kim, K.H. 2000 "A new sea trial method for estimating hydrodynamic derivatives," SOTECH, Vol. 3, No. 3, pp. 25-45
  4. Crane, C.L. 1979 "Maneuvering trials of a 278,000-DWT tanker in shallow and deep waters," SNAME Trans. Vol. 87, pp. 251-283.
  5. Goodwin, G.C, Payne, R.L. 1977 "Dynamic System Identification – Experimental Design and Data Analysis, " Academic Press, pp. 127-133.
  6. Kobayashi, E., Kagemoto, H., Furukawa, Y., 1995 "Research on ship manoeuvrability and its application to ship design, chapter 2: mathematical models of manoeuvring motions," the 12th Marine Dynamic Symposium, pp. 23-90.
  7. Hwang, W. 1980 "Application of system identification to ship maneuvering," Ph.D thesis, Massachusetts Institute of Technology
  8. Kallstrom, C.G. 1979 "Identification and adaptive control applied to ship steering," Ph.D thesis, Lund Institute of Technology
  9. Lewis, E.V. 1989 "Principles of Naval Architecture 2nd Ed.,” SNAME, Vol. 3, pp. 221-227.