基于免疫克隆选择算法的爬升飞行方案优化设计

Climbing Flight Scheme Optimal Design Based on Immune Clonal Selection Algorithm

无人飞行器的爬升段弹道设计是一类较为复杂的非线性问题,需要进行优化设计。分析了爬升段弹道飞行的主要约束条件,应用非均匀B样条(Non-uniform B-spline,NUBS)方法对爬升飞行方案进行了参数化处理,基于结合非一致性变异和自适应变异的免疫克隆选择算法设计了爬升段弹道的优化方案。仿真结果表明,优化后的飞行方案可以使无人飞行器在短时间平稳地爬升至指定高度并转入平飞,且各项参数满足约束条件要求。

The main constraints in ascent trajectory are analyzed,and then non-uniform B-spline method is adopted to parameterize the control rule.Based on immune clonal selection algorithm used non-uniform mutation and adaptive mutation,an optimum scheme of ascent trajectory is designed.Results of simulation demonstrate that the missile can turn to level flight steadily and quickly in the ascent trajectory after optimum design,meanwhile,the trajectory parameters satisfy the constraints.