Virtual disturbance feedback tuning. (30th March 2018)

• Record Type: Journal Article
• Authors: Eckhard, Diego; Campestrini, Lucíola; Christ Boeira, Emerson
• Is Part Of: IFAC journal of systems and control. Volume 3(2018)
• Page Start: 23
• Page End: 29
• Publication Date: 2018-03-30
• Subjects: Data-driven control -- PID Control -- Disturbance rejection -- Disturbance model -- VRFT; Automatic control -- Periodicals; Relay control systems -- Periodicals; Embedded computer systems -- Periodicals; Feedback control systems -- Periodicals; Artificial intelligence -- Periodicals; Artificial intelligence; Automatic control; Embedded computer systems; Feedback control systems; Relay control systems; Electronic journals; Periodicals; 629.89
• DOI: 10.1016/j.ifacsc.2018.01.003
• Languages: English
• ISSNs: 2468-6018

Abstract

Abstract: This paper presents a data-driven control method formulated for the disturbance rejection problem. Inspired on the Virtual Reference Feedback Tuning method, which is based on a tracking reference model, the proposed methodology, entitled Virtual Disturbance Feedback Tuning, is based on a disturbance model. Using only input/output data collected on the process (no process model) and a linearly parameterized controller, the optimal controller is obtained through least squares, resulting in a closed loop system as close as possible to the disturbance model. Experimental results show the efficiency of the proposed methodology.