The application of support vectors selection method based on genetic algorithm to aeroengine thrust estimation

摘要：

In this paper, a method based on Genetic Algorithm (GA) is proposed to select the reduced set of reduced Least Squares Support Vector Regression (RLSSVR), and the presented approach is used for aero-engine thrust estimation. With the aid of GA which has excellent global optimization ability, the support vectors that forming the reduced set are selected from the total training set A RLSSVR thrust estimator of certain aero-engine is designed based on the reduced set, and the simulations demonstrate that the proposed scheme can satisfy the requirements of aero-engine in thrust estimation. Meantime, the efficacy of the presented method is also valid.

关键词： aero-engine thrust estimation support vectors genetic algorithm least squares

作者: Yebo Li Qiuhong Li Jianguo Sun Yongping Zhao

作者单位: College of Energy and Power Engineering Nanjing University of Aeronautics and Astronautics Nanjing, School of Mechanical Engineering ZNDY of Ministerial Key Laboratory Nanjing University of Science an

会议类型: 国际会议

会议名称: The 3rd International Symposium on Jet Propulsion and Power Engineering(第三届喷气推进与动力工程国际会议 ISJPPE)

会议地点: 南京

会议语种:英文

页码: 589-594

在线出版日期: 2010-09-13（万方平台首次上网日期，不代表论文的发表时间）