摘要
为了减少能耗与排放,设计了一种基于粒子群优化算法的模糊控制器,将以此为核心的能量管理策略应用于模拟改装的船舶混合动力系统。在Matlab/Simulink环境下建立以柴油机和蓄电池为动力源的混合动力系统燃油消耗及排放模型,分别以常规模糊控制器和粒子群优化模糊控制器进行能量管理,并在相同条件下与原船动力系统进行仿真对比,仿真结果表明,所提方法对混合动力船舶能量管理系统有较好的适应性,可以达到良好的节油与减排效果。
In order to reduce the energy consumption and emission,a fuzzy logic controller with particle swarm optimization algorithm was designed. The energy management strategy based on the controller was used in the retrofitted marine hybrid power system. The fuel consumption models and emission models of hybrid power system were built under the Matlab/Simulink environment,using diesel engine and battery as the power source. Simulations and experiments were performed in the models of original power system,compared the models of a fuzzy controller with the models of a fuzzy controller with PSO algorithm under the same conditions. The experimental result shows that the proposed method can adapt to hybrid power marine with energy conservation and emission reduction.
出处
《武汉理工大学学报》
CAS
北大核心
2017年第3期32-37,共6页
Journal of Wuhan University of Technology
基金
国家自然科学基金面上项目(51579200)
关键词
混合动力船舶
能量管理
粒子群优化算法
模糊控制
hybrid power ship
energy management
particle swarm optimization algorithm
fuzzy logic controller
