基于Radau伪谱法的UCAV攻击突防轨迹规划研究

Research on Trajectory Planning of UCAV Attack Based on Radau Pseudospectral Method

针对无人作战飞机(UCAV)攻击突防阶段轨迹规划问题,提出一种基于Radau伪谱法(RPM)求解最优突防轨迹的方法.在综合考虑UCAV气动力特性、发动机推力特性及大气环境特性基础上建立了高精度UCAV(3-DOF)质点模型,并详细分析了UCAV初始、终端、飞行性能等约束;建立了动态RCS威胁模型,并构建了最优控制理论框架的UCAV攻击突防轨迹规划模型;利用RPM求得攻击突防轨迹最优解.通过仿真对时间最短和威胁最小2种情况下的轨迹优化问题进行验证,结果表明,上述算法能够生成满足多种复杂约束条件、真实可行的最优突防轨迹,并具有一定的实时性和较高的精度.

Aiming at the problem of UCAV attack penetration trajectory planning,the paper proposes a strategy based on Radau pseudo-spectral method to solve the optimal penetration trajectory. Considering UCAV aerodynamic characteristics,engine thrust characteristics and atmospheric environmental characteristics,a high - precision UCAV (3 - DOF) particle model was established,and the constraints of UCAV initial,terminal and flight performance were analyzed in detail. The establishment was established. The dynamic RCS threat model was constructed,and the UCAV attack penetration trajectory planning model of the optimal control theory framework was constructed. The optimal solution of the attack penetration trajectory was obtained through RPM. The trajectory optimization problems with the shortest time and the least threat were simulated. The results show that the algorithm can generate the optimal and feasible trajectory that meets many complex constraints and with faster speed and higher precision.