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首页> 外文期刊>Advances in space research >On the ability of sliding mode and LQR controllers optimized with PSO in attitude control of a flexible 4-DOF satellite with time-varying payload
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On the ability of sliding mode and LQR controllers optimized with PSO in attitude control of a flexible 4-DOF satellite with time-varying payload

机译:在具有时变有效载荷的柔性4-DOF卫星的POSO姿态控制中使用PSO优化的滑模和LQR控制器的能力

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摘要

Precise pointing of the satellite and its payload is essential in the accurate accomplishment of a space mission. In this study, the system of a satellite and its payload are considered as 4-DOF equations of motion. The time-varying payload can observe one direction of the Earth independently, and the satellite can point to the Earth station by its 3-DOF motions simultaneously. Sliding mode and LQR controllers are designed for damping disturbances, and consequently high pointing accuracy. Environmental disturbances and the associated time delay of Low Earth Orbit (LEO) are applied to the system. An algorithm based on Particle Swarm Optimization (PSO) is proposed to find the optimum values of variables and Normalized Integral Square Error (NISE) of the two aforementioned controllers. Numerical simulations indicate the optimized magnitudes of target detection errors and control efforts in four directions. The results revealed that PSO-SMC can finely track the time-varying payload and has better efficiency in comparison with PSO-LQR.
机译:精确指向卫星及其有效载荷在准确完成空间任务方面是必不可少的。在本研究中,卫星及其有效载荷的系统被认为是运动的4-DOF方程。时变有效载荷可以独立地观察到地球的一个方向,并且卫星可以同时通过其3-DOF运动点指向地球站。滑动模式和LQR控制器设计用于阻尼干扰,从而设计高指向精度。将低地球轨道(LEO)的环境扰动和相关的时间延迟应用于系统。提出了一种基于粒子群优化(PSO)的算法,以找到两个上述控制器的变量的最佳值和归一化积分误差(NISE)。数值模拟表示四个方向上的目标检测误差和控制力的优化大小。结果表明,PSO-SMC可以通过PSO-LQR进行精细地跟踪时变的有效载荷并具有更好的效率。

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