Feedforward control design for shaking table by Data driven control considering control input limitation. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Ishihara, Shinji; Tahara, Koichi; Hironaka, Koji
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 9011
• Page End: 9016
• Publication Date: 2020
• Subjects: Data driven control -- Feedforward control -- Industrial control -- Self tuning control -- SISO; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.2019
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: The burden of control adjustment of shaking table is increasing with the background of lack of skilled operators. With such background, there is a strong demand for a method to achieve desired control performance regardless of the operator's skill. The data-driven control is a promising approach to meet this requirement. However, even though an actual controller has an input limit, the data-driven control cannot handle it. Therefor, we proposed a novel method that considers the input limit based on data-driven prediction and an optimal problem with a penalty function. We verified the effectiveness of the proposed method through experiments using a small shaking test device.