论文部分内容阅读
研究无人作战飞机(UCAV)在对地攻击阶段的武器投放轨迹规划问题。针对传统方法在处理复杂的飞行器运动学、动力学约束上存在的困难,提出了一种基于Gauss伪谱法(GPM)的求解策略。首先,为了最大程度地逼近实际飞行环境,对UCAV的气动力特性、发动机推力特性、油耗特性及大气环境特性进行了高精度拟合,并充分考虑了飞行器各种飞行性能约束和战场环境约束;其次,采用快速求解算法计算制导炸弹的可投放区(LAR)包络,将其作为终端约束来确保攻击的命中概率;然后利用GPM将轨迹规划问题转化为非线性规划问题,在此基础上采用序列二次规划(SQP)算法求得最优解。为了提升计算效率及降低初值设置的难度,设计了多步迭代优化策略。对时间最优和燃料最优轨迹优化问题进行了仿真验证,结果表明该方法能够以较高的精度和速度生成真实可行的最佳武器投放轨迹。
To study the trajectory planning of UCAV during the ground attack phase. Aiming at the difficulties of the traditional method in dealing with complicated kinematics and dynamics constraints of the aircraft, a strategy based on Gauss Pseudo-Polarimetry (GPM) is proposed. First of all, in order to approach the actual flight environment to the maximum extent, the aerodynamic characteristics, engine thrust characteristics, fuel consumption characteristics and atmospheric environment characteristics of UCAV are fitted with high precision. The flight performance constraints and the battlefield environment constraints of the aircraft are fully considered. Secondly, the fast solution algorithm is used to calculate the LAR envelope of guided bombs, which is used as the terminal constraint to ensure the attack probability of attack. Then, the trajectory planning problem is transformed into the nonlinear programming problem by using GPM. On this basis, Sequential quadratic programming (SQP) algorithm to find the optimal solution. In order to improve computational efficiency and reduce the difficulty of setting initial values, a multi-step iterative optimization strategy is designed. The optimization of time and fuel optimal trajectory is simulated. The results show that this method can generate realistic and feasible optimal trajectory with high accuracy and speed.