【摘要】 针对运载火箭在大气层外的入轨飞行段可能出现的推力故障问题，提出了一种基于多算子差分进化算法的轨迹重规划方法。在传统差分进化算法的基础上，引入了混沌映射和多种群并行计算，从而改善了传统方法在处理轨迹重规划问题时的计算速度慢和容易陷入局部最优解的缺点。同时设计了一种决策向量处理机制，专门解决时间变量的无序和重复问题。实验结果表明，该算法在收敛精度和运行时间上均优于标准差分进化算法。并通过与伪谱法和迭代制导算法对比，进一步验证了该算法在轨迹重规划问题上的有效性和准确性。更多还原

【Abstract】 According to thrust failure during the orbit insertion phase of a launch vehicle beyond the atmosphere, a trajectory replanning method based on a multi-operator differential evolution algorithm is proposed. On the basis of traditional differential evolution algorithm, chaotic mapping and multi population parallel computing are introduced to improve the slow calculation speed and easy getting stuck in local optimal solutions of traditional methods during dealing with trajectory planning problems. At the same time, a decision vector processing mechanism is specifically designed to address the issues of disorder and repetition of time variables. The experimental results show that the algorithm proposed outperforms the standard deviation evolutionary algorithm in both convergence accuracy and running time. And by comparing with the pseudo-spectral method and iterative guidance algorithem, the effectiveness and accuracy of this algorithm proposed in trajectory planning are further verified, hereby demonstrating its potential for industry applications.更多还原