Title :
Fuzzy predictive control of Air Compressor System
Author :
Liu, Keping ; Feng, Xuesheng ; Yang, Min ; Tang, Chonghe ; Jiang, Changhong
Author_Institution :
Coll. of Electr. & Electron. Eng., Changchun Univ. of Technol., Changchun, China
Abstract :
Conventional PID is difficult to satisfy the high principles requirement on an Air Compressor as controlled object because of its delay and nonlinear features. The FIR model of Air Compressor System was built based on fuzzy predictive control theory, which selected the outlet pressure as a fuzzy premise variable and tuned by the operating rules. The result of step disturbance simulation experiment showed several advantages, such as good adaptability and adjusting online easily.
Keywords :
compressors; control nonlinearities; delays; fuzzy control; predictive control; three-term control; FIR model; air compressor system; conventional PID; delay; fuzzy predictive control; nonlinear features; Lead; Load modeling; Pipelines; Robustness; Air Compressor System; FIR Model; Fuzzy Predictive Control; Model Identification;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610133
