2020 年 140 巻 3 号 p. 289-295
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 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-seized embedded computers. This paper proposes a method to implement DD-PID controller using small-sized sub-databases based on the self-organazation 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 sub-databases adaptively. A numerical simulation example evaluates the effectiveness of the proposed scheme.
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