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首页> 外文期刊>International journal of aerospace engineering >Allocation Optimization Strategy for High-Precision Control of Picosatellites and Nanosatellites
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Allocation Optimization Strategy for High-Precision Control of Picosatellites and Nanosatellites

机译:微卫星和纳米卫星高精度控制的分配优化策略

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摘要

The high-precision control of picosatellites and nanosatellites has always plagued the astronautics field. Aiming to change the status quo of the actuators not being able to meet the high-precision attitude control of picosatellites and nanosatellites, this article formulates a control allocation strategy for picosatellites and nanosatellites using the solid propellant microthruster array (SPMA). To solve the problem of the diversity and complexity of ignition combinations brought about by the high integration of the SPMA, the energy consumption factor of the optimal allocation is established, and the relationships of the array's energy consumption factor, the control accuracy, the number, and the ignition combinations of the thruster array are deduced. The optimization objective is introduced by Sherman-Morrison formula and singular value decomposition. Thus, the energy consumption problem is transformed into an integer programming problem, acquiring the control allocation strategy and the optimal thruster energy. Simulation results show that the proposed algorithm can effectively reduce the thrust energy consumption and improve the precision control, demonstrating the feasibility and efficiency of the proposed algorithm for picosatellites and nanosatellites.
机译:微型卫星和纳米卫星的高精度控制一直困扰着航天领域。为了改变执行器的现状,使其无法满足微卫星和纳米卫星的高精度姿态控制,本文制定了使用固体推进剂微推力器阵列(SPMA)的微卫星和纳米卫星的控制分配策略。为了解决SPMA高度集成带来的点火组合的多样性和复杂性问题,建立了最优分配的能耗因子,并确定了阵列能耗因子,控制精度,数量,得到推力器阵列的点火组合。通过Sherman-Morrison公式和奇异值分解介绍了优化目标。因此,能量消耗问题转化为整数规划问题,获得控制分配策略和最佳推进器能量。仿真结果表明,该算法可以有效降低推力能量消耗,提高精度控制,证明了该算法在微卫星和纳米卫星上的可行性和有效性。

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