TY - JOUR
T1 - Dynamic positioning of remotely operated vessel based on novel analysis and design of SDRE scheme
AU - Lin, Li Gang
N1 - Publisher Copyright:
© 2022 The Author
PY - 2022/6/1
Y1 - 2022/6/1
N2 - This article presents a new analysis and design for the dynamic positioning of remotely operated vessel using the state-dependent Riccati equation (SDRE) scheme. The focus is on the computational performance for efficient communication. The novel analysis completely removes the dominant routine (applicability/solvability check) at each time instant or system state, which differs from the common numerical compromise that is subject to limited states and precision. The design framework also facilitates the analysis of the α-parameterization technique, which is a usual practice (built on empirical confidence) but, actually, cannot guarantee alleviation of computational burden. The finding, in a unified manner, clarifies whether the practice is effective with respect to the associated eight degrees of freedom, which separate into two respective groups by virtue of a simple condition with reduced dimensionality. At those newly discovered system states corresponding to unsolvable SDREs, we alternatively introduce a solution to construct feasible state-dependent coefficients (SDCs), and maximize/unify its general capability with a proof and a MATLAB® implementation. From a practical viewpoint, numerical experiments also validate the proposed combined scheme, which entails (i) computationally enhanced classical SDC construction with verification and (ii) an efficient alternative. Finally, we demonstrate the impact within and beyond this marine system.
AB - This article presents a new analysis and design for the dynamic positioning of remotely operated vessel using the state-dependent Riccati equation (SDRE) scheme. The focus is on the computational performance for efficient communication. The novel analysis completely removes the dominant routine (applicability/solvability check) at each time instant or system state, which differs from the common numerical compromise that is subject to limited states and precision. The design framework also facilitates the analysis of the α-parameterization technique, which is a usual practice (built on empirical confidence) but, actually, cannot guarantee alleviation of computational burden. The finding, in a unified manner, clarifies whether the practice is effective with respect to the associated eight degrees of freedom, which separate into two respective groups by virtue of a simple condition with reduced dimensionality. At those newly discovered system states corresponding to unsolvable SDREs, we alternatively introduce a solution to construct feasible state-dependent coefficients (SDCs), and maximize/unify its general capability with a proof and a MATLAB® implementation. From a practical viewpoint, numerical experiments also validate the proposed combined scheme, which entails (i) computationally enhanced classical SDC construction with verification and (ii) an efficient alternative. Finally, we demonstrate the impact within and beyond this marine system.
KW - Automatic control
KW - Computational analysis
KW - Nonlinear system
KW - Remotely operated vessel
KW - State-dependent Riccati equation
UR - http://www.scopus.com/inward/record.url?scp=85129304888&partnerID=8YFLogxK
U2 - 10.1016/j.oceaneng.2022.111186
DO - 10.1016/j.oceaneng.2022.111186
M3 - 期刊論文
AN - SCOPUS:85129304888
SN - 0029-8018
VL - 253
JO - Ocean Engineering
JF - Ocean Engineering
M1 - 111186
ER -