Real-time implementation of self-tuning regulator control technique for coupled tank industrial process system
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
SAGE Publications Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This article presents the self-tuning regulator control technique for a coupled tank liquid level system that often used in industry. An autoregressive with exogenous model has been used as the liquid process model with the self-tuning control implementation in order to track the desired tank level trajectories with disturbances and uncertainties of the system dynamics. The designed self-tuning controller has been sensitive to parameter variations of the nonlinear coupled tank system. The parameters of the proposed controller are periodically updated themselves during the process by means of online recursive least square method with the forgetting factor algorithm. In this way, the parameter variations and unwanted disturbances of the system are eliminated in real-time application. In order to demonstrate the efficiency of the self-tuning regulator control technique, the real-time studies have been executed. The obtained experimental results demonstrated that the proposed controller gives the better trajectory tracking performance and smaller magnitude in overshot and undershot than the designed classical proportional–integral and sliding mode controllers. © IMechE 2018.
Açıklama
Anahtar Kelimeler
Adaptive control, process control, proportional–integral controller, self-tuning control, sliding mode controller, system identification, Adaptive control systems, Controllers, Identification (control systems), Least squares approximations, Real time control, Sliding mode control, Tanks (containers), Adaptive Control, Integral controllers, Real-time implementations, Recursive least square methods, Self tuning controls, Self tuning regulators, Self-tuning controllers, Sliding mode controller, Process control, Adaptive control, process control, proportional–integral controller, self-tuning control, sliding mode controller, system identification, Adaptive control systems, Controllers, Identification (control systems), Least squares approximations, Real time control, Sliding mode control, Tanks (containers), Adaptive Control, Integral controllers, Real-time implementations, Recursive least square methods, Self tuning controls, Self tuning regulators, Self-tuning controllers, Sliding mode controller, Process control
Kaynak
Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
WoS Q Değeri
Q4
Scopus Q Değeri
Q2
Cilt
232
Sayı
8
