卫星编队构形多冲量调整优化研究

建立了卫星编队多冲量构形调整的优化模型,给出了期望构形约束的表达和处理方式。在约束处理方式和优化方法的不同组合下,对两个示例问题进行了多次优化求解和对比分析。结果表明:传统优化方法不能有效搜索复杂多冲量构形最优调整问题的最优解,而进化算法在期望构形约束满足精度上存在不足;先基于进化算法作全局搜索、再利用传统优化方法提高解的局部最优性是很好的方法,能够获得燃料最优性和约束满足精度都很高的解;对于期望构形约束的处理,传统优化适宜采用最终时刻状态偏差方式,而进化优化采用全周期最大状态偏差方式较好。

Research on Satellite Formation Multi-impulse Adjusting Optimization

Optimization model was built for satellite formation multi-impulse adjusting. Expression and handling methods of the expected formation constraint were proposed. Two demonstration problems were extensively solved under different combinations of constraint handling methods and optimization methods. Optimization results give several indications. First,traditional optimization method has great difficulty to get optimal solution for the complex multi-impulse satellite formation optimal adjusting problem,while evolutionary algorithm has accuracy problem in satisfying the expected formation constraint. Second,it is an effective way to solve complex multi-impulse satellite formation optimal adjusting problem using evolutionary algorithm to perform global search and traditional method to refine local optimality. In this way,solutions with both fuel saving and high constraint accuracy were found. Third,for the handling of the expected formation constraint,the form of final state distance adapts to traditional optimization,while the form of maximum state distance in whole orbital period is better for evolutionary optimization.