2-315 ニューラルネットワークによる非干渉化補償器を有する多重ループ PID 制御系の一設計

概要

論文の詳細を見る
In process industries, PID control schemes have been widely used due to their simple structures and easiness of comprehending the physical meanings of control parameters. However, since most processes are considered as nonlinear multivariable systems with mutual interactions, the good control performance3 can not be obtained by simply using PID control schemes. In this paper, a design method of neural-net based PID controllers is proposed for nonlinear multivariable system with mutual interaction. The proposed method consists of a decoupler generated by the sum of a static decoupler and a neural-net based decoupler, and multiloop PID controllers. Finally, the effectiveness of the proposed control scheme is evaluated on a simulation example.
一般社団法人日本機械学会の論文
2002-11-14