Fuzzy adaptive interactive algorithm design for marine dynamic positioning system under unexpected impacts of Vietnam Sea

1764-1771The factors which affect vessel motion mainly come from environmental influences. In the actual conditions, each of the oceans will exhibit different characteristics. This paper aims todevelop a fuzzy adaptive interactive (FAI) algorithm for the marine dynamic positioning system (DPs) under unexpected impacts of the Vietnam Sea. The response error ξ between the ideal model and the actual model helps to estimate more accurately the variation amplitude caused by nonlinear components. Based on the response error ξ, the control signal of actual model which is adjusted suitably to the ideal model proceeds the DPs maintain the vessel in a position under the environmental conditions of Vietnam Sea. On the other hand, the impact parameters are explored by the actual conditions to increase the reliability of the proposed solution. Simulation results of the FAI are evaluated in comparison with other methods such as fuzzy. The FAI performs the desired response of DPs better than other in two case studies, that proved the effective for the proposed controller

Review of dynamic positioning control in maritime microgrid systems

For many offshore activities, including offshore oil and gas exploration and offshore wind farm construction, it is essential to keep the position and heading of the vessel stable. The dynamic positioning system is a progressive technology, which is extensively used in shipping and other maritime structures. To maintain the vessels or platforms from displacement, its thrusters are used automatically to control and stabilize the position and heading of vessels in sea state disturbances. The theory of dynamic positioning has been studied and developed in terms of control techniques to achieve greater accuracy and reduce ship movement caused by environmental disturbance for more than 30 years. This paper reviews the control strategies and architecture of the DPS in marine vessels. In addition, it suggests possible control principles and makes a comparison between the advantages and disadvantages of existing literature. Some details for future research on DP control challenges are discussed in this paper