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Adjustable Adaptive Fuzzy Attitude Control using Nonlinear SISO Structure of Satellite Dynamics

机译:非线性SISO卫星动力学结构的可调自适应模糊姿态控制。

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This paper presents a method for three-dimensional attitude stabilization of a satellite. The pitch loop of the satellite is controlled by a momentum wheel; whereas the roll/yaw loops are stabilized using two magnetic torques along their respective axes. In order to design an efficient controller, the stability conditions are considered based on a nonlinear model of system. An adjustable adaptive fuzzy system is proposed as the method to design the controller. The span of membership functions are tuned using errors of fuzzy inputs with respect to their references. Results show that fuzzy sets cover all variations of fuzzy inputs and optimal fuzzy output is gained. The Lyapunov synthesis method is used to prove the stability of the closed-loop system. The efficiency of the controller in converging of the position error to close to zero is also shown using some numerical simulations.
机译:本文提出了一种用于卫星的三维姿态稳定的方法。卫星的音高环由动量轮控制;而横摇/横摆环则通过沿各自轴的两个磁转矩来稳定。为了设计一个高效的控制器,基于系统的非线性模型考虑了稳定性条件。提出了一种可调节的自适应模糊系统作为控制器的设计方法。使用模糊输入相对于其参考的误差来调整隶属函数的范围。结果表明,模糊集覆盖了模糊输入的所有变化,并获得了最优的模糊输出。用李雅普诺夫综合法证明了闭环系统的稳定性。使用一些数值模拟也显示了控制器将位置误差收敛到接近零的效率。

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