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Simultaneous iterative learning control of mode entrainment and error field

机译:模式夹带和错误字段同时迭代学习控制

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It is shown that static error fields (EFs) can severely limit the maximum rotation frequency achievable in mode entrainment by applied rotating fields. It is also shown that the rotation non-uniformities caused by an EF can be used to diagnose and correct said EF in real time. Simulations using typical DIII-D data show that this can be achieved within a small number of mode rotation periods by an iterative learning control algorithm. In addition to rapidly correcting the EF, this gives access to high entrainment frequencies that would not be accessible otherwise, and paves the way to rotational stabilization and improved mode control.
机译:结果表明,静态误差字段(EFS)可以严重限制模式夹带的最大旋转频率通过施加的旋转字段。还示出了由EF引起的旋转不均匀性可用于实时诊断和校正所述EF。使用典型DIII-D数据的仿真显示,通过迭代学习控制算法可以在少量模式旋转周期内实现。除了快速纠正EF之外,这可以访问不可能访问的高夹带频率,并铺平旋转稳定和改进的模式控制方式。

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