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Switching Gain Reduction in Adaptive Sliding Mode Control for Rigid Spacecraft Attitude Maneuvers

机译:刚性航天器姿态操纵的自适应滑模控制中的开关增益减小

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This paper investigates the overadaptation problem in current adaptive sliding mode control (ASMC) for rigid spacecraft attitude maneuvers. The inertia matrix uncertainty and external disturbance are taken into account, and an adaptive scheme is employed for the switching gain calculation. A detailed analysis of existing ASMC design reveals the fact that the switching gain would be overestimated if the ASMC algorithm is developed in the framework of conventional sliding mode control (SMC), owing to the unrelated adaptation caused by initial tracking error. The global sliding mode concept of integral sliding mode control (ISMC) is exploited to solve such a problem. The advantages of the proposed strategy are twofold. First, a much smaller switching gain is generated as compared to conventional ASMC. Second, the resulting small switching gain would not slow down the system response. The advantages of the proposed strategy are verified by both theoretical analysis and simulation results.
机译:本文研究了刚性航天器姿态机动的当前自适应滑模控制(ASMC)中的过适应问题。考虑惯性矩阵的不确定性和外部干扰,并采用自适应方案进行开关增益的计算。对现有ASMC设计的详细分析表明,如果ASMC算法是在常规滑模控制(SMC)框架中开发的,则开关增益将被高估,这是由于初始跟踪误差引起的不相关自适应。整体滑模控制(ISMC)的全局滑模概念被用来解决这一问题。所提出的策略的优点是双重的。首先,与传统的ASMC相比,产生的开关增益要小得多。其次,由此产生的小开关增益不会减慢系统响应。理论分析和仿真结果都验证了所提策略的优势。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第4期|602869.1-602869.9|共9页
  • 作者单位

    School of Automation, Beijing Institute of Technology, Beijing 100081, China,Key Laboratory for Intelligent Control & Decision of Complex Systems, Beijing Institute of Technology, Beijing 100081, China;

    School of Automation, Beijing Institute of Technology, Beijing 100081, China,Key Laboratory for Intelligent Control & Decision of Complex Systems, Beijing Institute of Technology, Beijing 100081, China;

    School of Automation, Beijing Institute of Technology, Beijing 100081, China,Key Laboratory for Intelligent Control & Decision of Complex Systems, Beijing Institute of Technology, Beijing 100081, China;

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