Affiliation of Author(s):能源与动力学院
Journal:ENERGIES
Key Words:aircraft engines min-max control optimal augmented monotonic tracking control (OAMTC) genetic algorithms
Abstract:This paper proposes a novel min-max control scheme for aircraft engines, with the aim of transferring a set of regulated outputs between two set-points, while ensuring a set of auxiliary outputs remain within prescribed constraints. In view of this, an optimal augmented monotonic tracking controller (OAMTC) is proposed, by considering a linear plant with input integration, to enhance the ability of the control system to reject uncertainty in system parameters and ensure no crossing limits. The key idea is to use the eigenvalue and eigenvector placement method and genetic algorithms to shape the output responses. The approach is validated by numerical simulation. The results show that the designed OAMTC controller can achieve a satisfactory dynamic and steady performance and keep the auxiliary outputs within constraints in the transient regime.
ISSN No.:1996-1073
Translation or Not:no
Date of Publication:2017-01-01
Co-author:Qin, Jiakun,Pan Muxuan
Correspondence Author:Huang Jinquan
Date of Publication:2017-01-01