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Iterative Feedback Tuning for regulatory control systems with measurable disturbances ?

机译:具有可测量干扰的监管控制系统的迭代反馈调整

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The study proposes Iterative Feedback Tuning (IFT) with measurable disturbances for disturbance attenuation using regulatory control data. The control system has a feedforward controller from the measurable disturbances as well as a feedback controller. The variance of the closed-loop output is used for the cost criterion. The gradient of the cost criterion in terms of both feedback and feedforward controller parameters are estimated via spectral analysis for single set of regulatory control data. The proposed method has a feature that it makes full use of measurable disturbances. In addition, it has a feature that it does not require a specific experiment for estimating the gradient of the cost criterion. These features facilitate the application of IFT to industrial processes. That is because they usually use an optimal set point value from the aspect of economical evaluation, and require to keep the set point a constant value. A numerical simulation shows the proposed method effectively tune both feedback and feedforward controller parameters.
机译:该研究提出了使用监管控制数据的可测量衰减的可迭代反馈调谐(IFT)。控制系统具有来自可测量干扰以及反馈控制器的前馈控制器。闭环输出的方差用于成本标准。通过对反馈和前馈控制器参数来估计成本标准的梯度通过用于单组调节控制数据的光谱分析来估计。该方法的特点是它充分利用可测量的干扰。另外,它具有一个特征,即它不需要特定的实验来估计成本标准的梯度。这些功能有助于IFT应用于工业过程。这是因为它们通常从经济评估的方面使用最佳设定点值,并且需要保持设定点恒定值。数值模拟显示所提出的方法有效调谐反馈和前馈控制器参数。

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