摘要
研究导弹方案飞行弹道的优化问题.在对方案飞行弹道优化本质特征进行分析的基础上,针对爬升-转弯段弹道提出了一种基于粒子群优化算法的方案弹道优化算法.该算法引入罚函数法和权系数法构建综合的目标函数,采用非均匀B样条方法实现控制规律的参数化,采用改进的具有动态初始化策略的粒子群优化算法进行寻优计算.仿真算例及结果表明,该方法结构清晰,具有较好的通用性,优化后的方案飞行弹道满足约束条件.
An optimum design method based on an improved particle swarm optimization is proposed to deal with the optimization problem of the project trajectory. This method employs the penalty function combined with the weight coefficient method to build the objective function. The non-uniform B-spline is adopted to characterize the control law and achieve the parameterized design variables. An improved particle swarm optimization with re-initialization mechanism is employed for optimization. An simulation example is provided lastly for testing,and the result analysis showed that this method has clear structure and good generality.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2010年第6期688-692,共5页
Transactions of Beijing Institute of Technology
基金
国家自然科学基金资助项目(50875024)
关键词
方案弹道
优化
粒子群算法
project trajectory
optimization
particle swarm optimization
