CONSTRAINTS TO GUARANTEE GAIN AND PHASE MARGINS FOR DATA-DRIVEN CONTROLLER TUNING METHODS

Authors

Taiga Sakatoku, Department of Electrical and Electronic Engineering, Mie University, Tsu, JapanFollow
Kazuhiro Yubai, Department of Electrical and Electronic Engineering, Mie University, Tsu, Japan
Daisuke Yashiro, Department of Electrical and Electronic Engineering, Mie University, Tsu, Japan
Satoshi Komada, Department of Electrical and Electronic Engineering, Mie University, Tsu, Japan

Abstract

The Noniterative Correlation-based Tuning (NCbT) is one of the data-driven controller tuning methods which directly tune controller parameters from input/output data set of a plant . The NCbT is based on the correlation approach to robustly tune controller parameters using a noisy input/output data set. Since the NCbT guarantees closed-loop stability only for the situation where the data is acquired, a plant fluctuation is not taken into consideration, which may lead to degradation of control performance and/or destabilization of the closed-loop system . In this paper, we virtually produce input/output data sets of the plant with various gain and/or phase fluctuation to derive data-driven constraints for the prespecified gain and phase margins.

Recommended Citation

Sakatoku, Taiga; Yubai, Kazuhiro; Yashiro, Daisuke; and Komada, Satoshi (2020) "CONSTRAINTS TO GUARANTEE GAIN AND PHASE MARGINS FOR DATA-DRIVEN CONTROLLER TUNING METHODS," Journal of Marine Science and Technology: Vol. 28: Iss. 5, Article 8.
DOI: 10.6119/JMST.202010_28(5).0008
Available at: https://jmstt.ntou.edu.tw/journal/vol28/iss5/8