DocumentCode
2790139
Title
An improved PID generalized predictive control algorithm
Author
Chen, Guang-Yi ; Ren, Ping ; Pei, Hai-Long
Author_Institution
Dept. of Autom., Foshan Univ., Foshan
Volume
4
fYear
2008
fDate
12-15 July 2008
Firstpage
1877
Lastpage
1881
Abstract
To take the advantages of both generalized predictive control (GPC) and proportion-integral-differential control (PID), it is feasible to combine them together to form up a new predictive control algorithm (PID-GPC). However, there is large online computational burden in GPC algorithm itself. And PlD-GPC algorithm has also increased the computation quantity a little. The overall computational burden is so heavy that it restrains the on-line application of PID-GPC. Hence, it is imperative to improve the control algorithm to broaden its application. This paper is concerned with lightening computational burden by exploring its internal mechanism and puts forward an improved algorithm, which just needs to pick the reciprocal of a number, instead of calculating the inverse matrix. The simulation results show that this improved algorithm is feasible and effective.
Keywords
predictive control; three-term control; generalized predictive control algorithm; online computational burden; proportion-integral-differential control; Automation; Cost function; Cybernetics; Machine learning; Machine learning algorithms; Pi control; Prediction algorithms; Predictive control; Proportional control; Three-term control; Algorithm; Generalized predictive control; PID;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620712
Filename
4620712
Link To Document