Authors:
Yoichiro Ashida
1
;
Shin Wakitani
2
and
Toru Yamamoto
2
Affiliations:
1
Department of Electrical Engineering and Computer Science, National Institute of Technology, Matsue College, 14-4 Nishiikumacho, Matsue and Japan
;
2
Graduate School of Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-hiroshima and Japan
Keyword(s):
Predictive PI Controller, Predictive Control, Delay System, Data-driven, Self-tuning.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Engineering Applications
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
This paper proposes an online type control parameter tuning method for a predictive PI controller. Predictive PI controller is based on a PI controller with a Smith predictor, and it is effective for a controlled object with large dead-time. Control performance of the predictive PI controller strongly depends on control parameters. Recently, some data-driven controller tuning methods have been proposed. The methods directly calculate suitable parameters from one or some sets of operating data. In addition, almost controlled processes are time-variant. In this paper, a data-driven self-tuning predictive PI controller is proposed. The effectiveness of the proposed scheme is evaluated by a simulation example.