Real-time implementation of self-tuning regulator control technique for coupled tank industrial process system

Küçük Resim Yok

Tarih

2018

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

Künye