The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON MATHEMATICS
Transactions ID Number: 53-856
Full Name: Chunxiao Zhang;
Position: Associate Professor
Age: ON
Sex: Female
Address: Tianjin
Country: CHINA
Tel: 13132544152
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E-mail address: cxzhang@cauc.edu.cn
Other E-mails: 13820143143@139.com
Title of the Paper: application of an improved adaptive chaos prediction model in aero-Chunengine performance parameters
Authors as they appear in the Paper: ChunXiao Zhang Junjie Yue
Email addresses of all the authors: cxzhang@cauc.edu.cn,jjyue_yjs09@cauc.edu.cn
Number of paper pages: 11
Abstract: Based on the research of complexity and non-linearity of aero-engine exhaust gas temperature (EGT) system, a regularization adaptive chaotic prediction model was proposed to build short time forecasting model of EGT. In this paper, in order to gain the best parameter to improve the accuracy of the forecasting model, a new hybrid particle swarm optimization (HPSO) arithmetic was adopted, which is greatly fit for optimizing continuous and integer variables and their constraints. This arithmetic enhanced the ability of dealing with integer variables and constraints by adding and changing some manipulations. The simulation analysis shows that the proposed forecasting model obviously exceeded the traditional chaotic forecasting model on prediction accuracy. Therefore, this arithmetic is efficient and feasible for a short-term prediction of aero-engine exhaust gas temperature.
Keywords: Exhaust gas temperature; Regularization; Adaptive chaos prediction ; Hybrid particle swarm optimization; Principal component regression;Aeroengine.
EXTENSION of the file: .doc
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