DocumentCode :
1955391
Title :
Predictive fuzzy PID control for complex processes
Author :
Lu, Jialiang ; Ranganathan, Rayanallur S. ; Chen, Guanrong ; Malki, Heidar A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Houston Univ., TX, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
544
Abstract :
In this paper, a new structure of predictive fuzzy PID controller is proposed. The new controller is robust and effective in controlling higher order and time-delayed complex processes. The proposed predictive fuzzy PID controller combines the fuzzy PID and generalized predictive control (GPC) ideas together, and is equipped with optimization capability that minimizes a cost function. These features make the new controller more effective than individual fuzzy PID and GPC controllers in handling nonlinear systems. Computer simulations are shown for various types of process stabilization and set point tracking problems
Keywords :
delay systems; fuzzy control; large-scale systems; nonlinear systems; optimisation; predictive control; robust control; three-term control; PID controller; complex processes; fuzzy control; nonlinear systems; optimization; predictive control; robust control; set point tracking; time-delay systems; Control systems; Cost function; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Predictive control; Process control; Robust control; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1098-7584
Print_ISBN :
0-7803-5877-5
Type :
conf
DOI :
10.1109/FUZZY.2000.839051
Filename :
839051
Link To Document :
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