An efficient multi block incompressible viscous flow solver based on solving the Reynolds Averaged Navier Stokes (RANS) equations numerically has been developed that can be applied to simulation of a variety of shi...An efficient multi block incompressible viscous flow solver based on solving the Reynolds Averaged Navier Stokes (RANS) equations numerically has been developed that can be applied to simulation of a variety of ship maneuvering related flows and calculation of hydrodynamic forces. Validation and verification of the solution procedure were carried out on several model problems with good agreement to experimental and numerical results.展开更多
Fuzzy control has shown success in some application areas and emerged as analternative to some conventional control schemes. There are also some drawbacks in this approach,for example it is hard to justify the choice ...Fuzzy control has shown success in some application areas and emerged as analternative to some conventional control schemes. There are also some drawbacks in this approach,for example it is hard to justify the choice of fuzzy controller parameters and control rules, andcontrol precision is low, and so on. Fuzzy control is developing towards self-learning and adaptive.The ship steering motion is a nonlinear, coupling, time-delay complicated system. How to control iteffectively is the problem that many scholars are studying. In this paper, based on the repeatedcontrol of the robot, the self-learning arithmetic was worked out. The arithmetic was realized infuzzy logic way and used in cargo steering. It is the first time for the arithmetic to be used incargo steering. Our simulation results show that the arithmetic is effective and has severalpotential advantages over conventional fuzzy control. This work lays a foundation in modeling andanalyzing the fuzzy learning control system.展开更多
文摘An efficient multi block incompressible viscous flow solver based on solving the Reynolds Averaged Navier Stokes (RANS) equations numerically has been developed that can be applied to simulation of a variety of ship maneuvering related flows and calculation of hydrodynamic forces. Validation and verification of the solution procedure were carried out on several model problems with good agreement to experimental and numerical results.
文摘Fuzzy control has shown success in some application areas and emerged as analternative to some conventional control schemes. There are also some drawbacks in this approach,for example it is hard to justify the choice of fuzzy controller parameters and control rules, andcontrol precision is low, and so on. Fuzzy control is developing towards self-learning and adaptive.The ship steering motion is a nonlinear, coupling, time-delay complicated system. How to control iteffectively is the problem that many scholars are studying. In this paper, based on the repeatedcontrol of the robot, the self-learning arithmetic was worked out. The arithmetic was realized infuzzy logic way and used in cargo steering. It is the first time for the arithmetic to be used incargo steering. Our simulation results show that the arithmetic is effective and has severalpotential advantages over conventional fuzzy control. This work lays a foundation in modeling andanalyzing the fuzzy learning control system.
