引用本文:王长青,韦汉林,李爱军,扎伯罗特诺夫.尤里.空间系绳系统展开的滑模变结构控制[J].控制理论与应用,2016,33(1):70~76.[点击复制]
WANG Chang-qing,WEI Han-lin,LI Ai-jun,ZABOLOTNOV Yuriy.Sliding mode variable structure control for the deployment of tethered satellite system[J].Control Theory and Technology,2016,33(1):70~76.[点击复制]
空间系绳系统展开的滑模变结构控制
Sliding mode variable structure control for the deployment of tethered satellite system
摘要点击 3588  全文点击 1861  投稿时间：2014-12-30  修订日期：2015-06-04
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DOI编号  10.7641/CTA.2016.41203
  2016,33(1):70-76
中文关键词  空间系绳系统  展开运动  动力学模型  标称轨迹  轨迹跟踪  滑模控制
英文关键词  tethered satellite system  deployment  dynamic models  nominal trajectory  trajectory tracking  sliding mode control
基金项目  2011年度国家国际科技合作专项项目, 陕西省科学技术研究发展计划项目(2013KW09-02)资助.
作者单位E-mail
王长青* 西北工业大学自动化学院 wangcq@nwpu.edu.cn 
韦汉林 西北工业大学自动化学院  
李爱军 西北工业大学自动化学院  
扎伯罗特诺夫.尤里 萨马拉国立航空航天大学  
中文摘要
      为了增强空间系绳系统展开过程的抗干扰性, 本文提出了空间系绳系统展开运动轨迹跟踪的滑模变结构 控制方法. 考虑大气摄动和无模型摄动建立了空间系绳系统展开运动动力学模型. 基于遗传算法, 针对两阶段展开 方式, 采用最优振荡阻尼张力控制律和等分时张力控制律设计了展开运动标称轨迹. 为了实现轨迹的鲁棒跟踪, 采 用考虑展开长度的等效控制和连续函数幂次趋近律切换控制设计了滑模变结构控制器. 仿真结果表明, 所提出的 控制方法有效增强了空间系绳系统展开运动的动态性能及鲁棒性.
英文摘要
      To enhance the interference immunity of the deployment of tethered satellite system (TSS), we propose a trajectory tracking method based on sliding-mode variable structure control. Firstly, the dynamic model of TSS is developed by considering both the atmosphere perturbation term and the model-less perturbation term. Secondly, in a two-stage deployment project, the ideal nominal trajectory is designed with the optimal oscillation damping tension control law in the first stage and with the equal time tension control law in the second stage. Parameters obtained in both stages are optimized by using the genetic optimization algorithm. To realize the robust trajectory tracking, we design the sliding-mode variable structure controller with the equivalent control method and the switching control method in which the continuous function power reaching law is adopted to implement the switching control. Simulation results shows that the proposed control method can efficiently improve the dynamic performance and enhance the robustness of the deployment of TSS.