首页|Effective emission control of aero-engines via nonlinear dual-estimators for uncertain states and parameters

Effective emission control of aero-engines via nonlinear dual-estimators for uncertain states and parameters

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  • NETL
  • NSTL
  • Elsevier
This paper proposes an effective emission control strategy for an aero-engine using nonlinear dual-estimators, which aims to address challenges arising from state and parameter uncertainties. Transient air-fuel ratio (AFR) regulation issues, primarily caused by the wall-wetting and manifold-filling phenomena, are mitigated by a novel approach leveraging dual nonlinear estimators: (ⅰ) an extended Kalman filter (EKF) and (ⅱ) an unknown dynamics estimator (UDE). The EKF estimates the fuel mass flow rate and unknown internal parameters, while the UDE compensates for nonlinear air-filling dynamics by estimating a lumped term involving the second derivative of air mass flow. The control framework is built upon a modified mean value engine model (MVEM), tailored to capture the unique dynamics of the rotary aero-engine. Building upon the foundational concepts developed in earlier research, this work moves toward practical application by demonstrating the proposed strategy through real-world experiments conducted on an AIE 225CS rotary aero-engine under a standard driving cycle, marking a significant step forward from theory to application. Furthermore, it introduces a complete stability analysis that addresses the coupling of dual-estimation errors, an aspect not explored in prior work. Comparative experimental results against an industry-standard gain-scheduling PID controller demonstrate the proposed method's performance in achieving improved AFR regulation and significant emissions reduction.

Emission controlAero-engineAir-fuel ratioNonlinear dual estimators

Anthony Siming Chen、Guido Herrmann、Reza Islam、Matthew Turner、Chris Brace、Giovanni Vorraro、James W.G. Turner、Stuart Burgess、Nathan Bailey

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University of Nottingham, Department of Electrical and Electronic Engineering, Nottingham, NG7 2RD, United Kingdom||The University of Manchester, Department of Electrical and Electronic Engineering, Manchester, Ml 3 9PL, United Kingdom

The University of Manchester, Department of Electrical and Electronic Engineering, Manchester, Ml 3 9PL, United Kingdom

University of Bath, Department of Mechanical Engineering, Both, BA2 7AY, United Kingdom

King Abdullah University of Science and Technology (KAUST), Clean Combustion Research Centre (CCRC), Thuwal, 23955-6900, Saudi Arabia

University of Bristol, Department of Mechanical Engineering, Bristol, BS8 1TR, United Kingdom

Advanced Innovative Engineering (AIE) Ltd., Lichfield, WS13 7SF, United Kingdom

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2025

10.1016/j.ast.2025.110210

Aerospace science and technology

Aerospace science and technology

SCI
ISSN：1270-9638
年,卷(期)：2025.163(Aug.)
  • 36