An Optimal Augmented Monotonic Tracking Controller for Aircraft Engines with Output Constraints

Jiakun Qin, Jinquan Huang and Muxuan Pan
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Jiakun Qin: Jiangsu Province Key Laboratory of Aerospace Power System, College of Energy & Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Jinquan Huang: Jiangsu Province Key Laboratory of Aerospace Power System, College of Energy & Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Muxuan Pan: Jiangsu Province Key Laboratory of Aerospace Power System, College of Energy & Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Energies, 2017, vol. 10, issue 1, 1-17

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.

Keywords: aircraft engines; min-max control; optimal augmented monotonic tracking control (OAMTC); genetic algorithms (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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