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    航天器预定义时间自适应模糊姿态量化控制

    Adaptive Fuzzy Attitude Quantization Control for Predefined-time of Spacecraft

    • 摘要: 针对具有惯性不确定性、外部干扰以及输入量化的航天器系统,提出了一种预定义时间自适应模糊姿态量化控制算法。在控制器设计过程中,采用模糊逻辑系统逼近系统的非线性项,并引入迟滞量化器减小量化信号中的抖振。在此基础上,设计了一种预定义时间自适应模糊姿态控制器,以确保航天器姿态能够在预先给定的时间内收敛到原点附近的邻域内,收敛时间可通过调节一个简单参数预先确定。与现有的预定义时间控制算法相比,该算法可直接避免奇异性问题而无需引入任何分段连续函数或二次分式型函数,使得稳定性分析更加简洁。仿真结果验证了所提算法的有效性。

       

      Abstract: A predefined-time adaptive fuzzy attitude quantization control algorithm is proposed for spacecraft system in the presence of inertia uncertainties, external disturbances and input quantization. During the process of the controller design, a fuzzy logic system is used to approximate the nonlinear item of the system, and a hysteresis quantizer is introduced to mitigate chattering issues in the quantization signal. On this basis, a predefined-time adaptive fuzzy attitude controller is designed to ensure that the spacecraft attitude can converge into neighborhood near the origin point within a predefined time, which can be explicitly determined in advance by adjusting a simple parameter. Compared with the existing predefined-time control algorithms, the singularity problem of the proposed algorithm can be avoided directly without requiring the input of any piecewise continuous functions or quadratic fractional functions, making the stability analysis more concise. Finally, the effectiveness of the proposed algorithm is validated by the simulation results.

       

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