公开(公告)号：US11788473B2

公开(公告)日：2023-10-17

申请号：US17052756

申请日：2020-03-19

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Yanhua Ma ,  Nan Ding ,  Ximing Sun ,  Xudong Zhao

IPC: G06F17/12 ,  F02C9/00 ,  G06N20/10 ,  G06F18/214 ,  G06F18/2411

CPC classification number: F02C9/00 ,  G06F18/214 ,  G06F18/2411 ,  G06N20/10 ,  F05D2200/11 ,  F05D2200/12 ,  F05D2200/13 ,  F05D2200/14 ,  F05D2200/24 ,  F05D2270/02 ,  F05D2270/304 ,  F05D2270/3061 ,  F05D2270/44 ,  F05D2270/71 ,  F05D2270/803

Abstract: The present invention belongs to the technical field of control of aero-engines, and proposes an adaptive boosting algorithm-based turbofan engine direct data-driven control method. First, a turbofan engine controller is designed based on the Least Squares Support Vector Machine (LSSVM) algorithm, and further, the weight of a training sample is changed by an adaptive boosting algorithm so as to construct a turbofan engine direct data-driven controller combining a plurality of basic learners into strong learners. Compared with the previous solution only adopting LS SVM, the present invention enhances the control precision, improves the generalization ability of the algorithm, and effectively solves the problem of sparsity of samples by the adaptive boosting method. By the adaptive boosting algorithm-based turbofan engine direct data-driven control method designed by the present invention.