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Fuzzy control for a non-linear MIMO plant subject to control constraints

机译:受控制约束的非线性MIMO设备的模糊控制

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A rule based fuzzy controller is presented for attitude stabilization of a small satellite in low earth orbit. Active control Is done by using 3-axis magneto-torquing. A preferred torque vector can not always be generated from the magnetic coils in certain regions of the orbit, due to an unfavourable direction of the geomagnetic field vector. The main objective of an acceptable control algorithm will then be to optimize the control effort: minimize the desired influence on the controlled axis and minimize the undesired disturbances to the other axes. It was found that a fuzzy controller can achieve these goals in a computationally effective way, compared to other more involved MIMO algorithms, while performing just as well or better under similar conditions. This fuzzy controller solves the control constraint problem by choosing the best magneto-torquer, the polarity and switching instances.
机译:提出了一种基于规则的模糊控制器,用于低地球轨道上小型卫星的姿态稳定。主动控制通过使用3轴磁转矩完成。由于地磁场矢量的不利方向,优选的转矩矢量不能总是从轨道的某些区域中的电磁线圈产生。可接受的控制算法的主要目标将是优化控制效果:最小化对受控轴的期望影响,并最小化对其他轴的不期望的干扰。已经发现,与其他涉及更多的MIMO算法相比,模糊控制器可以以计算有效的方式实现这些目标,同时在相似条件下的性能相同或更好。该模糊控制器通过选择最佳的磁转矩,极性和切换实例来解决控制约束问题。

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