RBCC高超声速巡航飞行器轨迹优化与设计  被引量:2

Trajectory Optimization and Design for RBCC Hypersonic Cruise Vehicle

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作  者:郑雄[1] 刘竹生[2] 杨勇[1] 姚世东[1] 陈洪波[1] 

机构地区:[1]中国运载火箭技术研究院研究发展中心,北京100076 [2]中国运载火箭技术研究院,北京100076

出  处:《航天控制》2016年第5期21-26,32,共7页Aerospace Control

摘  要:巡航飞行器正向着快速响应、高超声速巡航和强突防的方向发展,火箭基组合循环(Rocket Based Combined Cycle,RBCC)推进系统是此类飞行器的潜在动力。本文以RBCC高超声速巡航飞行器为研究对象,对其飞行任务剖面进行规划与分析,并针对其轨迹优化设计问题,采取分段求解的思路:分别建立飞行器爬升段和巡航段轨迹设计数学模型,在此基础上,应用粒子群优化(Particle Swarm Optimization,PSO)算法对爬升段轨迹进行优化设计,而对于巡航段轨迹,则采用数值方法求解,两段轨迹求解过程中均考虑飞行动压、过载的约束以及控制变量的取值范围限制。仿真结果表明,所得到的轨迹满足飞行任务剖面需求及动压、过载等约束,验证了所用方法的有效性。Cruise vehicle is heading to the development of rapid response, hypersonic cruise and strong penetration and rocket based combined cycle propulsion system is the potential power of such kind of aircraft. RBCC hypersonic cruise vehicle, planning and analyzing its mission profile are focused in this paper. Regarding the trajectory optimization, sub-solving idea is adopted: establishing mathematical models of aircraft climb and cruise periods separately; Applying particle swarm optimization algorithm to trajectory optimization of the climb based on models above; Using numerical methods during the cruise. During the two trajectory design processes, constraints of flight dynamic pressure, overload and control variables are consid- ered. The simulation results show that the mission profile requirements and dynamic pressure, overload and other constraints are fulfilled in the obtained trajectory and the effectiveness of the method is verified.

关 键 词:RBCC 高超声速巡航飞行器 粒子群优化算法 轨迹优化 

分 类 号:V421.1[航空宇航科学与技术—飞行器设计]

 

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