控制理论(社会学)
多元微积分
计算机科学
过程(计算)
控制器(灌溉)
PID控制器
方案(数学)
迭代学习控制
迭代和增量开发
点(几何)
过程控制
控制工程
迭代法
反馈回路
数学优化
控制(管理)
算法
数学
温度控制
工程类
人工智能
软件工程
操作系统
数学分析
生物
计算机安全
农学
几何学
作者
Håkan Hjalmarsson,Michel Gevers,Svante Gunnarsson,Olivier Lequin
出处
期刊:IEEE Control Systems Magazine
[Institute of Electrical and Electronics Engineers]
日期:1998-08-01
卷期号:18 (4): 26-41
被引量:917
摘要
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.
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