Analyzing the Sea Weather Effects to the Ship Maneuvering in Vietnam’s Sea from BinhThuan Province to Ca Mau Province Based on Fuzzy Control Method

Abstract

Vietnam is located in the tropical monsoon climate, so there are many storms affecting the marine environment each year. However, Vietnam's sea also has distinct characteristics due to the continental shelf factors, salinity, sea currents and viscosity water. In this paper, the sea weather effects to the ship in the sea area from BinhThuan province to Ca Mau province are analyzed. Specifically, wave, wind and current which are the three main factors affecting the safety of ship are thoroughly examined. Importantly, the survey parameters have been built from the actual operating environment. In addition, maintaining the stability of dynamic positioning system in Vietnam weather conditions is the main point of this study.

Robust Adaptive Fuzzy Control Using Genetic Algorithm for Dynamic Positioning System

“…Regarding to reduce the affect of unexpected impacts from environmental, Hu et al presented an adaptive fuzzy controller for the DPs [18], the unexpected impacts are approximated by the adaptive fuzzy structure. Dang et al analyzed the sea weather effects to the Ship Maneuvering based on Fuzzy control method to maintain stability of ship position when engaging in fishing [19]. Thus, disturbance rejection is a fairly common solution in ship motion control and Fuzzy control is a the appropriate option for study.…”

“…Vector τ envi represents the forces from environment, including wave, wind and current. The vertical centering of the relative coordinate system XY Z is placed at the roll axis of vessel, x G denotes the longitudinal position of the gravity central of the vessel towards the relative frame of reference [19]. The transformation matrix J (ψ) and M ∈ R 3x3 and D ∈ R 3x3 are the inertia and damping matrix, respectively.…”

Optimization of energy consumption and thermal comfort for intelligent building management system using genetic algorithm

“…The intelligent control of energy systems based on possession a typical intelligent control of air handling units, windows, doors, lighting, HVAC units, and factors associated with comfort, the resident airflow conditions within rooms and building areas and including dissatisfaction with comfort levels to occupants. The self-learning control algorithms can be used in IBMS to react to changes in the variables associated with energy performance including occupant behavior [34][35][36].…”

Applying convolutional neural networks for limited-memory application

“…In recent years, it is known that ships usually perform under the complexity and vulnerability of environment, so that the challenge of ship development remains an problem of significant advancements from researchers. They have been paid attention to study of ship [27][28][29][30] to meet the IMO standards. Recently, the authors [18] have studied and applied the modified SSDLite_MobileNetV2 hybrid algorithm to BNWAS by using the hardware based on raspberry Pi-3 to meet the requirements of IMO MSC.…”