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基于粒子群算法的绳系卫星展开与回收控制 被引量:8

The Deployment and Retrieval Control of the Tethered Satellite Based on the PSO Algorithm
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摘要 绳系卫星的展开与回收是绳系卫星应用的基础问题,但通过改变系绳拉力来实现展开和回收的方法尚未得到充分研究.将系绳拉力作为控制力,并在时间域内离散,然后利用粒子群优化算法在整个可行域中寻找满足优化指标的最优值,从而得到控制力的变化规律.该控制方法可以使绳系卫星系统在最小摆动、最短时间等最优指标意义下,迅速展开到平衡位置,同时也适用于绳系卫星的回收.仿真结果表明:该控制方法同基于控制展开与回收速度的控制方法相比,展开和回收的时间短、侧向摆动小,具有一定优越性. Deployment and retrieval of a tethered satellite system is the basic issue of its application while the control scheme by varying the tension force of the tether has not been well investigated. In the article the tension force is considered as the control force and discretized in the time domain. The particle swarm optimization optimal algorithm is then used to search the optimal value fitting the optimal index in the feasible zone, thus obtaining the changing law of the control force. This control scheme can make the tethered satellite deploy to the equilibrium position in a short time under the optimal index of least swing and least time. Meanwhile, it is suitable to the retrieval. The simulation results show this control law costs shorter time and less lateral swing compared with the control law based on varying the speed of deployment and retrieval. So it has some certain advantages.
出处 《空间控制技术与应用》 2009年第4期48-51,共4页 Aerospace Control and Application
关键词 绳系卫星 展开 回收 粒子群算法 最优指标 tethered satellite deployment retrieval particle swarm optimization optimal index
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