A Neural-Net Based Controller Supplementing a Multiloop PID Control System

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概要

• 論文の詳細を見る

• In this paper, a design method of neural-net based PID controllers is proposed for multivariable nonlinear systems with mutual interactions. The proposed method adopt both a static pre-compensator and some multi-layered neural networks. The former is used for roughly decoupling the controlled object, and the latter is used in order to improve decoupling and to linearize the approximately decoupled controlled object. Also the design scheme based on the relationship between PID law and the generalized minimum variance control(GMVC)law is adopted. The effectivenes of the proposed control scheme is evaluated on a simulation example.

• 一般社団法人電子情報通信学会の論文
• 2002-01-01

著者

• Tokuda Makoto

  The Faculty Of Computer Science And Systems Engineering Okayama Prefectural University

• Yamamoto Toru

  The Graduate School Of Education Hiroshima University

関連論文

• A Neural-Net Based Controller Supplementing a Multiloop PID Control System

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