DocumentCode :
1621365
Title :
Fuzzy phase compensation algorithm and its application
Author :
Wang, Fandun ; Dou, Charlie
Author_Institution :
Shanghai Instrum. Professional Inst, China
fYear :
1995
Firstpage :
263
Lastpage :
265
Abstract :
Traditional fuzzy logic inference and control algorithms cannot be used effectively in phase-related mechanical velocity control, since fuzzy logic is essentially a trial strategy which is based upon observation from the next system response. Experimental results and process applications show that these algorithms are not suitable for fast-reaction systems. This paper discusses a modified fuzzy inference/control algorithm-the lead-and-lag fuzzy logic compensation algorithm, which uses a lead-and-lag algorithm to compensate the phase error. This algorithm was successfully used on multiple-function food-packing lines. It can trace the phase correctly and reduce the accumulated phase error within an acceptable degree
Keywords :
error compensation; fuzzy control; fuzzy logic; intelligent control; phase control; uncertainty handling; velocity control; accumulated phase error reduction; fast-reaction systems; fuzzy control algorithms; fuzzy logic inference; fuzzy phase compensation algorithm; lead-and-lag fuzzy logic compensation algorithm; multiple-function food-packing lines; phase error compensation; phase tracing; phase-related mechanical velocity control; system response; trial strategy; Control systems; Error correction; Flexible printed circuits; Fuzzy logic; Inference algorithms; Instruments; Leg; Mathematics; Mechanical systems; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-7126-2
Type :
conf
DOI :
10.1109/ISUMA.1995.527704
Filename :
527704
Link To Document :
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