The online optimisation of stator vane settings in multi-stage axial compressors

Roh, H. and Daley, Stephen (2009) The online optimisation of stator vane settings in multi-stage axial compressors International Journal of Advanced Mechatronic Systems, 1, (4), p. 266. (doi:10.1504/IJAMECHS.2009.026332).


Full text not available from this repository.


Axial compressors for high efficiency industrial gas turbines are required to operate over a wide range of mass flow rates and rotational speeds. However, the useful range of operation of the axial-flow compressor is limited by the onset of two instabilities known as surge and rotating stall. To resolve these problems, variable stator blades or VGV's are considered by optimising the blade setting in order to avoid the stall and subsequent surge. A steady state model of a 15 stage multi-stage axial compressor is utilised here to investigate the performance, particularly for obtaining acceptable optimisation convergence time for practical purposes. For the effective search for an optimum setting, the variation in VGV's with respect to a different combination of objective functions is considered. In this paper, self-tuning extremum control and a particle swarm optimisation method are proposed and implemented to obtain the best value for a normalised objective function. The results demonstrate the relative effectiveness of the two algorithms and the suitability for their use in this proposed application. The study clearly demonstrates that the PSO provides the best performance in seeking the optimum of the chosen objective functions.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1504/IJAMECHS.2009.026332
ISSNs: 1756-8412 (print)
Related URLs:
Subjects: T Technology > TJ Mechanical engineering and machinery
Organisations: Signal Processing & Control Grp
ePrint ID: 334368
Date :
Date Event
Date Deposited: 07 Mar 2012 14:53
Last Modified: 17 Apr 2017 17:27
Further Information:Google Scholar

Actions (login required)

View Item View Item