文章基本信息

标题：Study on a Database-driven Controller with Data Clustering Method
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作者：H. Nakanishi ; S. Wakitani ; T. Yamamoto 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：29
页码：13-18
DOI：10.1016/j.ifacol.2019.12.614
语种：English
出版社：Elsevier
摘要：A database-driven PID (DD-PID) control method is one of the effective control methods for nonlinear systems. This scheme requires a database to tune control parameters adaptively. In the conventional the DD-PID control method, there is a problem that the calculation cost and required memory for creating an optimal database are large, and it is difficult to implement the controller into small-sized embedded computers. This paper proposes a method to implement the DD-PID controller with small-sized sub-databases based on the self-organization map (SOM). In the proposed method, sub-databases are constructed by clustering a large scale database using the SOM. Moreover, it is possible to realize the reduction of the required memory and the calculation cost compared to the conventional method by selecting small-sized sub-databases adaptively. A numerical simulation example evaluates the effectiveness of the proposed scheme.
关键词：KeywordsDatabase-driven controlfictitious reference iterative tuning (FRIT)self-organization map (SOM)offline learning