DocumentCode :
1854069
Title :
Self-adaptive Surge Adjustment based on Fast Correlation Integral Method in Centrifugal Compressors
Author :
Sun, Tao ; Xu, Guanghua ; Zhang, Chunmei
Author_Institution :
Sch. of Mech. Eng., Xi´´an Jiaotong Univ.
fYear :
2006
fDate :
8-10 Oct. 2006
Firstpage :
661
Lastpage :
666
Abstract :
The research result that correlation integral (i.e. CI) curve shows a continuous decrease of 1~2 second in CI amplitude until the advent of flow instability such as stall and surge opens a way for self-adaptive surge adjustment. However, the existing computational method of correlation integral curve is very time-consuming, which makes the promising control strategy fail to be used for real-time application. A fast algorithm of the curve computation is presented based on the concept of segmentation in this paper. The improved method is much faster than the existing one for all reduplicate computation of the number of correlated pairs is eliminated using our proposing propositions and criterions. Applying the improved method to some cases of our experiment, it is demonstrated that the correlation integral had a remarkable drop of about 0.25 order of magnitude prior to the development of surge and the elapsed time is much shorter than the requisite time of the existing method. The fast algorithm will motivate the real-time application of correlation integral curve to the control system using the value as the feedback threshold, which will extend the normal operating range of the centrifugal compressor.
Keywords :
compressors; correlation methods; feedback; surge protection; surges; centrifugal compressors; control system; correlation integral curve; fast correlation integral method; feedback threshold; flow instability; self-adaptive surge adjustment; Compressors; Control systems; Event detection; Laboratories; Manufacturing automation; Mechanical engineering; Power engineering and energy; Real time systems; Sun; Surges;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Science and Engineering, 2006. CASE '06. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
1-4244-0310-3
Electronic_ISBN :
1-4244-0311-1
Type :
conf
DOI :
10.1109/COASE.2006.326961
Filename :
4120427
Link To Document :
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