Research On Turning Angle To Avoid Collision Between Ships With Particle Swarm Optimization

Avoid collision at sea ship navigation problem has been the focus of science and technology research areas. Over the years, because of the ship by the navigable waters, sea state, weather conditions, traffic density, the ship's own conditions, and drivers of operational experience and level of impact and other factors, give the ship suffered a collision, the rocks and fire and other accidents caused enormous losses. According to statistical analysis of ship collisions at sea mainly from the human factors, performance in the pilot of the ship's exercise trends, timing of collision avoidance, collision risk and collision avoidance decision-making, such as the estimated unclear. For this reason, ships at sea-depth study of automatic collision avoidance decision-making system of the new ideas and new ways to improve the ship at sea for the automation of navigation safety and reliability, reducing the driver's labor intensity and psychological burden, to avoid the ship suffered a collision, the rocks and sea other accidents, will have very important practical meaning.For many ships which will be met in case of ship collision avoidance problem, this article studies:â‘ from many academics on the current ship collision avoidance intelligent decision-making research, the introduction of ships will be involved in case of related concepts, and in accordance with the rules of sailing ships at sea analysis of the ship will encounter several trend-depth chapters for follow-up study has provided the basis of the analysis;â‘¡will ship the boat with many inter-shift rate as a problem for a class of multi-objective function optimization problem, and target vessel compared with the The ship's DCPA, TCPA, and speed than the K, to DCPA, TCPA, K, such as a threat to the parameters set up multi-ship collision avoidance decision-making constrained optimization function model, and then on this basis, the application of Particle Swarm Optimization(PSO) algorithm to find feasible solution from meet the objective function and constraint conditions of the optimal range of solutions towards collision avoidance. Simulation results show that particle swarm optimization method can not only help to solve many cases of ships which will be the event of the ship steering angle optimal value, but also to many ship collision avoidance decision-making system of intelligent design and development;â‘¢in order to overcome the PSO easy to fall into local optimum problem, the text also introduces a Quantum-behaved Particle Swarm Optimization (QPSO) algorithm can be used find the global optimum of the quantum particle swarm optimization.