著者

丹下 吉雄 松井 哲郎

出版者

一般社団法人 電気学会

雑誌

電気学会論文誌C(電子・情報・システム部門誌) (ISSN:03854221)

巻号頁・発行日

vol.144, no.1, pp.21-27, 2024-01-01 (Released:2024-01-01)

参考文献数

25

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In this paper, we propose a self-tuning algorithm by which we can achieve autonomous engineering including model identification and control parameter tuning on the edge-type MPC (Model Predictive Control). In the model identification algorithm, offset estimation is introduced in order to replace step response tests. We compare the control performance of the self-tuning edge-type MPC with those of PID control and offline-tuned edge-type MPC for a MIMO stir process model. As a result, the proposed self-tuning edge-type MPC achieves faster tracking performance without any pre-tuning.