Title :
A fast generalized predictive control algorithm for the typical industrial processes
Author :
Xu, Min ; Shao-Yuan Li
Author_Institution :
Inst. of Autom., Shanghai Jiao Tong Univ., China
Abstract :
A new fast generalized predictive control (FGPC) algorithm is proposed in this paper, which is particularly effective for the typical industrial processes that can be regarded as the first-or second-order process models with a time-delay. The algorithm has good adaptive ability and robustness with low-cost computation, simple control structure, and PID-like formulation. Simulation studies demonstrate good behaviors.
Keywords :
delays; predictive control; process control; robust control; three-term control; PID control; fast generalized predictive control algorithm; first-order process model; industrial process control; low-cost computation; robustness; second-order process model; simulation; time-delay; Automation; Electronic mail; Equations; Industrial control; Polynomials; Prediction algorithms; Predictive control; Predictive models; Robust stability; Three-term control;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021525
