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成像卫星任务周规划模型与算法
引用本文:庞秀丽,于渤,姜维.成像卫星任务周规划模型与算法[J].国防科技大学学报,2013,35(5):44-51.
作者姓名:庞秀丽  于渤  姜维
作者单位:哈尔滨工业大学管理学院,哈尔滨工业大学管理学院,哈尔滨工业大学管理学院
基金项目:国家自然科学基金项目(71202168,71271066);中国博士后基金(20090450973);中央高校基本科研业务费专项资金(HIT.NSRIF.2010083);黑龙江省教育厅科学技术研究项目(12511435)。
摘    要:作为卫星运控系统中的一个重要模块,卫星任务短期规划对充分发挥卫星系统效能有着重要影响。与卫星任务的日规划的作用和特点不同,它既涉及到任务规划的技术问题又涉及到卫星管理问题。针对周规划任务,本文分析周规划的需求和特点,兼顾周规划的四项主要作用,构造周规划的分层框架;分析周规划优化目标及约束条件,建立卫星任务的负载度周规划模型;针对模型求解属于高维离散组合优化问题,仿真实验评价了几种基本智能优化求解算法,并应用引入分布式并行技术的遗传模拟退火算法求解。

关 键 词:卫星任务规划  周规划模型  遗传求解算法  分布式并行计算
收稿时间:1/2/2013 12:00:00 AM

The Weekly Task Scheduling Model and Solving Algorithm of Imagining Satellites
PANG Xiuli,YU Bo and JIANG Wei.The Weekly Task Scheduling Model and Solving Algorithm of Imagining Satellites[J].Journal of National University of Defense Technology,2013,35(5):44-51.
Authors:PANG Xiuli  YU Bo and JIANG Wei
Abstract:Satellite weekly task scheduling is an important procedure for the Satellite Run and Management System, and it has influence on the effectiveness of satellite system. Different from the function and the characteristic of daily task scheduling, weekly task scheduling includes not only the technology problem but also the management problem. The paper mainly expounds three respects of work: firstly, analyzing the demand and the characteristic of weekly task scheduling, explaining four main functions of weekly scheduling, then constructing a hierarchical scheduling framework; secondly, summarizing optimization objects and constraint conditions, and building the weekly task scheduling model with considering the task overloading factor; thirdly, with instigating the heuristic rules and introducing distributed parallel computing strategy, combing the Gene Algorithm and the Simulated Annealing Search to solve the model.
Keywords:Satellite Task Optimize Scheduling  Weekly Scheduling Model  Gene Solving Algorithm  Distributed Parallel Computing
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