云多目标粒子群算法挠性卫星机动路径参数优化
摘要为满足挠性卫星姿态快速机动快速稳定的控制要求，针对挠性卫星姿态机动的多种机动路径，并考虑挠性卫星姿态机动过程中角加速度和角速度的限制，采用云多目标粒子群优化算法对机动路径参数进行优化。在此基础上，对得出的多组数据再结合功效系数法，选出几组Pareto最优解，经过仿真对比和分析，最终选出一组最合适的解。最后，对机动路径参数优化前后的控制效果进行了对比仿真。仿真结果验证了机动路径参数优化的有效性，对路径参数的优化提高了卫星姿态机动的快速性和稳定性。63960
毕业论文关键词 挠性卫星 姿态机动 路径参数优化 云多目标粒子群优化
毕业设计说明书（论文）外文摘要
Title Path parameters optimization for attitude maneuver of flexible satellite based on cloud multi-objective particle swarm algorithm
Abstract In allusion to a variety of paths for attitude maneuver of flexible satellite and considering the restrictions of angular acceleration as well as angular velocity during attitude maneuver of flexible satellite, Cloud Multi-Objective Particle Swarm Optimization is used to optimize the path parameters of attitude maneuver in order to meet the control requirement of rapid maneuvering and rapid stable for attitude maneuver of flexible satellite. On this basis, efficacy coefficient method is used to select several groups of Pareto optimal solutions from all the solutions. Through simulation comparison and analysis, a most appropriate solution is selected ultimately. At last, the control effect of the path parameters before and after the optimization is compared. The simulation results demonstrate the effectiveness of the path parameters optimization, and the optimization improves the attitude maneuver of flexible satellite with rapidity and stability.
Keywords flexible satellite attitude maneuver path parameters optimization CMOPSO
1 绪论 1
1.1 课题研究背景及意义 1
1.2.1 卫星姿态控制系统概述 1
1.2.2 机动路径规划研究现状 2
1.3 本文主要研究内容 2
2 挠性卫星动力学模型及控制系统结构 3
2.1 挠性卫星动力学模型 3
2.2 挠性卫星姿态控制系统概述 4
2.2.1 挠性卫星姿态控制系统总体设计 4
2.2.2 挠性卫星机动路径概述 4
2.3 挠性卫星仿真模型参数 5
2.4 本章小结 7
3 多目标粒子群优化算法简介 8
3.1 引言 8
3.2 多目标优化算法 8
3.3 多目标优化的功效系数法 9
3.3.1 功效系数法介绍 9
3.3.2 功效系数法的特点 10
3.4 粒子群算法基本概念 11
3.5 多目标粒子群优化算法概述