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Multivariable feedback design to improve tracking performance on tractor vibration test rig

机译:多变量反馈设计可提高拖拉机振动试验台的跟踪性能

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The multivariable tracking accuracy on an automotive vibration test rig can be improved by extending the current industrial off-line iterative feedforward procedure with a real-time multiple-input-multiple-output (MIMO) feedback controller. This paper shows that for the considered 4×4 application, the two most common approaches, namely full MIMO identification and μ-synthesis on one hand and decentralised control on the other hand fail to design a robust MIMO controller with acceptable performance. Therefore, a control design based on static decoupling is applied. This is a combination of (1) a transformation of the inputs and the outputs to decouple the system, and (2) independent single-input-single-output (SISO) controllers designed for the diagonal elements of the transformed system, using standard SISO identification and H{sub}∞-techniques. To optimise the closed-loop performance, a new decoupling algorithm is developed. The new presented algorithm outperforms the existing decoupling algorithms, yielding satisfactory multivariable closed-loop performance.
机译:通过使用实时多输入多输出(MIMO)反馈控制器扩展当前的工业离线迭代前馈过程,可以提高汽车振动测试台上的多变量跟踪精度。本文表明,对于考虑的4×4应用,两种最常见的方法,一方面是完全MIMO识别和μ合成,另一方面是分散控制,未能设计出性能令人满意的鲁棒MIMO控制器。因此,应用了基于静态去耦的控制设计。这是(1)输入和输出的转换以使系统解耦,以及(2)使用标准SISO为转换后的系统的对角元素设计的独立单输入单输出(SISO)控制器的组合识别和H {sub}∞技术。为了优化闭环性能,开发了一种新的解耦算法。提出的新算法优于现有的解耦算法,产生令人满意的多变量闭环性能。

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