【作者】 常江辉； 赵永生； 魏崇竹；

【Author】 Chang Jianghui, Zhao Yongsheng , Wei Chongzhu Research Institute of Automation, Dalian Maritime University, Dalian 116026 Automatic Research Center, Dalian Maritime University, Dalian 116026

【机构】 大连海事大学自动化研究所； 大连海事大学自动化研究中心；

【摘要】 模糊控制的成功应用依赖于一系列参数,例如隶属度函数,这些参数通常是主观设定的。本文提出了将蚁群算法应用于模糊隶属度函数的优化,克服了输入和输出变量隶属度函数参数设计的主观性和盲目性。将经过优化的模糊控制器应用到船舶航向控制上,仿真结果表明,获得了良好的控制性能。更多还原

【Abstract】 The successful application of fuzzy control depends on some subjectively decided parameters, such as fuzzy membership functions. In this paper, a new method utilizing Ant Colony Algorithm (ACA) was proposed to optimize the fuzzy membership function’s parameters. The subjectivity and blindness were avoided by using this method in the process of designing the input and output membership function. The fuzzy controller optimized by ACA has been applied to control the shipping course and the simulation results show good control performance.更多还原