Title :
Multivariable process control using analytical decoupling and disturbance observer
Author :
Li, Guo-Zhong ; Xiang, Bo ; Zhou, Ping ; Zhao, Jin-Hui
Abstract :
Control a closed-circuit grinding process is a challenging problem due to its complex dynamic characteristics and heavy interactions among the control loops. Especially the various process disturbances and uncertain dynamics have a great influence on the control performances of the closed-loop system. In this paper, a compound control strategy by combining the analytical decoupling control and disturbance observer (DOB) technique is proposed to handle such an intricate multivariable process. The decoupling controller acts as prefiter and is used to generate appropriate control actions such that a desired setpoint tracking response is achieved. The DOB is employed to estimate the various disturbances and suppress them by feedforward compensation design. Control studies have been performed by simulation tests for setpoint tracking and disturbance rejection problems.
Keywords :
closed loop systems; compensation; control system synthesis; feedforward; grinding; multivariable control systems; observers; process control; tracking; uncertain systems; DOB; analytical decoupling controller; closed loop system; closed-circuit grinding process control; complex dynamic characteristics; compound control strategy; control loops; control performances; disturbance estimation; disturbance observer; disturbance rejection problems; disturbance suppression; feedforward compensation design; multivariable process control; prefiter; setpoint tracking response; uncertain dynamics; Compounds; Delay effects; Feedforward neural networks; Feeds; Integrated circuit modeling; Observers; Process control; Grinding process; analytical decoupling; disturbance observer; multivariable control;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244267