Suboptimal predictive control for satellite detumbling
Suboptimal predictive control for satellite detumbling
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DOI：
10.2514/1.61367
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发表时间：
2014-04
影响因子：
2.6
通讯作者：
Shakil Ahmed;E. Kerrigan
中科院分区：
文献类型：
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作者：
Shakil Ahmed;E. Kerrigan
磁控小卫星捕获初始阶段的速率阻尼对控制系统是一个很大的挑战。在这一阶段，主要的困难是动态非线性，由于高的身体率，随时间变化的控制，由于地球磁场的变化，固有的欠驱动，和可用功率的限制。要求控制系统以最少的机载资源使用来最小化去翻滚时间。与初始采集阶段使用的现有控制技术相比，预测控制可以被认为是在存在约束的情况下处理这种冲突目标的合适选择。在这项工作中，现有的两个非线性模型预测控制方案，保证闭环稳定的性能进行了分析。非线性模型预测控制提供了改进的性能，通过减少与经典的控制技术相比，地球磁场的变化率的基础上的去翻滚时间;然而，计算…
Rate damping in the initial acquisition phase of a magnetically controlled small satellite is a big challenge for the control system. In this phase, the main difficulties are dynamic nonlinearities due to high body rates, time-varying control due to the change in Earth’s magnetic field, inherent underactuation, and constraints on available power. The control system is required to minimize the detumbling time with minimal use of onboard resources. In comparison to the existing control techniques used in the initial acquisition phase, predictive control can be considered a suitable choice for handling such conflicting objectives in the presence of constraints. In this work, performance of two existing nonlinear model predictive control schemes that guarantee closed-loop stability are analyzed. Nonlinear model predictive control gives improved performance by reducing the detumbling time compared to classical control techniques based on the rate of change of Earth’s magnetic field; however, the computational ...