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