高超声速飞行器机动航迹优化  

Optimization of Maneuvering Flight Path of Hypersonic Vehicle

作　　者：张忠峰[1] 高云峰[1] 宝音贺西[1] 

机构地区：[1]清华大学航天航空学院,北京100084

出　　处：《弹箭与制导学报》2009年第3期164-165,172,共3页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金：国家自然科学基金(90505006)资助

摘　　要：用遗传算法优化了高超声速飞行器机动飞行的航迹。建立威胁模型,鉴于高超声速飞行器特性,优化中考虑了飞行器的过载和气动加热。将最优控制问题转化为参数优化问题后,用遗传算法对机动飞行航迹进行了优化,仿真结果表明,该方法优化生成的航迹自动避开威胁,满足了飞行器机动飞行的要求。The maneuver flight path of hypersonic vehicle was optimized by genetic algorithm. The threat model was established, and dler and aerodynamic heating were taken into account considering in view of hypersonic vehicle＇s characteristic. After transforming a kind of optimal control problem into parameter optimization problem, the maneuvering flight path was optimized by genetic algorithm. The simulation results show that the generated flight path can automatically avoid threat and meet the requirements of hypersonic vehicle＇s maneuvering flight.

关 键 词：机动飞行 遗传算法 高超声速 

分 类 号：V249.122.3[航空宇航科学与技术—飞行器设计]