TY - JOUR
T1 - An approach to improve the offshore platform coordinates accuracy by using multichannel Kalman filtering
AU - Hajiyev, Chingiz M.
AU - Caliskan, Fikret
PY - 2003/1
Y1 - 2003/1
N2 - In this paper, multichannel Kalman filters for estimation of offshore platform (OP) coordinates are designed. The complete OP motion is assumed to be composed of the low-frequency motion caused by the wind and undercurrent, and the high-frequency motion caused by the sea. The mathematical model of the low-frequency OP motion is given by the normal differential equation system, and the high-frequency OP motion is represented by a moving-average multivariable autoregression model. The parameter estimation problem for the model of the low-frequency OP motion, on which the in-service control is performed, is solved through two jointly operating Kalman filters: the first one is for the estimation of the parameters of the low-frequency motion model, and the second one is for the parameter estimation for the high-frequency model. The parameters of the first filter are automatically adapted to variations of the second filter, i.e., they are adapted to disturbances from the sea. Two algorithms for the OP motion parameter estimation (parallel and with preliminary data compression), employed for several measuring channels data estimation, are developed, and simulated on a computer. Some recommendations on their use are given.
AB - In this paper, multichannel Kalman filters for estimation of offshore platform (OP) coordinates are designed. The complete OP motion is assumed to be composed of the low-frequency motion caused by the wind and undercurrent, and the high-frequency motion caused by the sea. The mathematical model of the low-frequency OP motion is given by the normal differential equation system, and the high-frequency OP motion is represented by a moving-average multivariable autoregression model. The parameter estimation problem for the model of the low-frequency OP motion, on which the in-service control is performed, is solved through two jointly operating Kalman filters: the first one is for the estimation of the parameters of the low-frequency motion model, and the second one is for the parameter estimation for the high-frequency model. The parameters of the first filter are automatically adapted to variations of the second filter, i.e., they are adapted to disturbances from the sea. Two algorithms for the OP motion parameter estimation (parallel and with preliminary data compression), employed for several measuring channels data estimation, are developed, and simulated on a computer. Some recommendations on their use are given.
KW - Coordinates supervision
KW - High-frequency motion
KW - Low-frequency motion
KW - Multichannel Kalman filter
KW - Offshore platform
UR - http://www.scopus.com/inward/record.url?scp=0037263737&partnerID=8YFLogxK
U2 - 10.1016/s0019-0578(07)60113-x
DO - 10.1016/s0019-0578(07)60113-x
M3 - Article
C2 - 12546468
AN - SCOPUS:0037263737
SN - 0019-0578
VL - 42
SP - 53
EP - 61
JO - ISA Transactions
JF - ISA Transactions
IS - 1
ER -