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Research on improved model-free adaptive control algorithm to suppress the influence of disturbances

机译:改进的无模型自适应控制算法抑制干扰影响的研究

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The model-free adaptive control (MFAC) algorithm is the key point in the control. It is significance to deeply study on MFAC. Aiming to suppress the influence of disturbances, an improved hybrid model-free adaptive control algorithms is proposed based on the MFAC with a decreasing gain and MFAC with a filter. Considering the advantages and disadvantages of two MFAC algorithms, the algorithms proposed are combined two methods and introduced threshold switching. Simulation results verify the effectiveness of the algorithms proposed.
机译:无模型自适应控制(MFAC)算法是控件中的关键点。深入研究MFAC是重要的。旨在抑制扰动的影响,基于MFAC提出了一种改进的混合式无模型自适应控制算法,其利用滤波器​​降低和MFAC。考虑到两个MFAC算法的优点和缺点,所提出的算法组合了两种方法并引入了阈值切换。仿真结果验证了算法所提出的效力。

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