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首页> 外文期刊>Journal of Dynamic Systems, Measurement, and Control >Computation of QFT Bounds for Robust Sensitivity and Gain-Phase Margin Specifications
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Computation of QFT Bounds for Robust Sensitivity and Gain-Phase Margin Specifications

机译:鲁棒灵敏度和增益相位裕度规格的QFT边界计算

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摘要

Algorithms are presented for generation of QFT controller bounds to achieve robust sensitivity reduction and gain-phase margin specifications. The proposed algorithms use quadratic constraints and interval plant templates to derive the bounds, and present several improvements over existing QFT bound generation algorithms: (1) The bounds can be generated over interval controller phases, as opposed to discrete controller phases in existing QFT algorithms. This feature essentially solves the safety problems associated with phase discretization process in QFT bound generation; (2) The generated bounds are guaranteed to be safe and reliable, even for very coarse interval templates (of poor accuracy), and despite all kinds of computational errors; (3) Inner as well as outer enclosures of the exact bound values can be obtained using the proposed algorithms. Such enclosures directly provide upper bounds on the error in the generated results for any given interval template; (4) A very significant reduction in computational effort-typically, reduction in flops by 2-3 orders of magnitude is achieved; (5) The vertical line (or rectangle) nature of plant templates exhibited in the low and high frequency ranges can be readily exploited to obtain bounds with very little effort; (6) The number of flops required to generate the bounds for any given template can be estimated closely a priori; (7) The (entire) algorithms can be programmed using vectorized operations, resulting in small execution times.
机译:提出了用于生成QFT控制器边界的算法,以实现鲁棒的灵敏度降低和增益相位裕量规范。所提出的算法使用二次约束和区间工厂模板来导出边界,并提出了对现有QFT边界生成算法的一些改进:(1)可以在区间控制器阶段上生成边界,这与现有QFT算法中的离散控制器阶段相反。此功能从根本上解决了QFT边界生成中与相位离散化过程相关的安全问题。 (2)即使存在各种计算错误,即使对于非常粗糙的间隔模板(精度较差),也可以保证生成的边界是安全可靠的; (3)可以使用提出的算法来获得精确限制值的内部和外部包络。对于任何给定的间隔模板,此类附件直接为生成结果中的错误提供了上限; (4)大大减少了计算工作量-通常将触发器减少了2-3个数量级; (5)在低和高频率范围内显示的植物模板的垂直线(或矩形)性质可以很容易地利用它来轻松地获得边界; (6)生成给定模板的边界所需的触发器数量可以先验地估计; (7)可以使用矢量化操作对(整个)算法进行编程,从而缩短了执行时间。

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