TITLE:
Adaptive Cascade Generalized Predictive Control
AUTHORS:
Tao Geng, Jin Zhao
KEYWORDS:
Adaptive Cascade Generalized Predictive Control, Model Identification, Cascade Control
JOURNAL NAME:
International Journal of Intelligence Science,
Vol.4 No.3,
July
30,
2014
ABSTRACT: Cascade control is
one of the most popular structures for process control as it is a special
architecture for dealing with disturbances. However, the drawbacks of cascade
control are obvious that primary controller and secondary controller should be
tuned together, which influences each other. In this paper, a new Adaptive
Cascade Generalized Predictive Controller (ACGPC) is introduced. ACGPC is a
method issued from GPC and the inner and outer controllers of a cascade system
are replaced by one cascade generalized predictive controller, where both loops
model are updated by Recursive Least Squares method. Compared with existing
methods, the new method is simpler and yet more effective. It can be directly
integrated into commercially available industrial auto-tuning systems. Some
examples are given to illustrate the effectiveness and robustness of the
proposed method.