Rapid Modeling Method for Performance Prediction of Centrifugal Compressor Based on Model Migration and SVM

Abstract

An accurate model is important for design and optimization control of centrifugal compressor. However, due to the varying operation conditions and the complexity of the flow dynamics inside it, establishing a satisfaction model of a new compressor is time and cost consuming. This paper proposes a rapid modeling method for centrifugal compressor based on model migration and support vector machines (SVMs). A general framework for centrifugal compressor model migration is given between two similar compressors, the base model of an existing old compressor is revised to fit for the new compressor by SVM using a small number of data. The effective of the proposed method is contrasted with pure SVM by a simulation case and the results show that, compared with the pure SVM, the migrated model can fit the new compressor faster with better accuracy, which is useful for reducing the cost and time in developing the model for new compressors.

Keywords

• Centrifugal compressor
• model migration
• performance prediction
• support vector machines
• similar