Abstract: The problem of knowledge acquisition for the air combat of fighter is studied, and a way to acquire knowledge from massive flight parameters data is put forward. Firstly, expert system of air combat is built, then for flight maneuver knowledge extraction, a method based on Salp Swarm Algorithm（SSA） is proposed, in order to obtain simple and effective knowledge, designing a new evaluation function of the SSA algorithm. Finally, the simulation results of horizontal right turn and single plane loop verify that the knowledge extraction method of flight maneuver is effective and feasible.

Key words: autonomous air combat, expert system, knowledge acquisition, salp swarm algorithm

摘要： 针对空战知识获取问题展开研究，提出了一条从海量飞行参数中获取知识的途径。构建空战专家系统知识库；对于飞行动作规则知识的提取，提出了一种基于樽海鞘群优化算法的飞行动作规则知识提取方法，为了使提取的规则知识简洁有效，对算法的评价函数进行了设计。通过对水平右转弯机动动作和斤斗动作进行规则提取仿真与分析，验证了该方法的有效性和可行性。

关键词: 自主空战, 专家系统知识库, 知识获取, 樽海鞘群优化算法