Title :
Disturbance observer enhanced model predictive control with experimental studies
Author :
Chen, Xi-Song ; Yang, Jun ; Guo, Cong ; Wang, Hong-Chao
Author_Institution :
Sch. of Autom., Southeast Univ., Nanjing, China
Abstract :
A disturbance observer enhanced model predictive control approach is addressed in this paper for the typical industrial process control systems. The proposed method is applied to a practical level tank system subject to severe disturbances. Both simulation and experimental results show that the proposed method significantly improves the disturbance attenuation property of the model predictive control scheme.
Keywords :
observers; predictive control; process control; disturbance attenuation property; disturbance observer; industrial process control system; model predictive control; practical level tank system; Educational institutions; Integrated circuit modeling; Observers; Predictive control; Predictive models; Valves; disturbance attenuation; disturbance observer; level tank; model predictive control;
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
Conference_Location :
Hohhot
Print_ISBN :
978-1-4244-9436-1
DOI :
10.1109/MACE.2011.5986898
