Iterative feedback tuning: theory and applications
Iterative feedback tuning: theory and applications
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DOI：
10.1109/37.710876
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发表时间：
1998-08
影响因子：
5.7
通讯作者：
H. Hjalmarsson;M. Gevers;S. Gunnarsson;O. Lequin
中科院分区：
文献类型：
--
作者：
H. Hjalmarsson;M. Gevers;S. Gunnarsson;O. Lequin
我们研究了迭代控制设计的一种优化方法。重要的是，设计准则的梯度是根据测量的闭环系统数据计算的。因此，这种方法不是基于模型的。在假设回路中的信号有界的前提下，该方案收敛到设计准则的一个稳定点。从实用的角度来看，该方案提供了几个优点。申请起来很简单。可以在每次迭代中控制控制器的变化率。可以在迭代之间操纵目标，以收紧或放松性能要求。如果需要，可以强调某些频率区域。这种直接优化整定算法特别适合于过程工业中基本控制回路的整定，这些基本控制回路通常是PID回路。这些主循环经常调得很差，使得更高级(例如，多变量)技术的应用变得非常无用。成功应用先进控制技术的第一个要求是对初级回路进行适当的调节。这项新技术似乎是一种非常实用的方法，几乎是自动进行的。
We have examined an optimization approach to iterative control design. The important ingredient is that the gradient of the design criterion is computed from measured closed loop data. The approach is thus not model-based. The scheme converges to a stationary point of the design criterion under the assumption of boundedness of the signals in the loop. From a practical viewpoint, the scheme offers several advantages. It is straightforward to apply. It is possible to control the rate of change of the controller in each iteration. The objective can be manipulated between iterations in order to tighten or loosen performance requirements. Certain frequency regions can be emphasized if desired. This direct optimal tuning algorithm is particularly well suited for the tuning of the basic control loops in the process industry, which are typically PID loops. These primary loops are often very badly tuned, making the application of more advanced (for example, multivariable) techniques rather useless. A first requirement in the successful application of advanced control techniques is that the primary loops be tuned properly. This new technique appears to be a very practical way of doing this, with an almost automatic procedure.