Multi-Input Multi-Output Robust Control of Turbofan Engines Based on Off-Equilibrium Linearization Linear Parameter Varying Model

Yifeng Tang, Yan Li, Wenchong Yang, Wenxiang Zhou, Jinquan Huang, Tao Cui*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The conventional linear parameter varying (LPV) modeling for turbofan engines is performed at a set of equilibrium points, which may result in inaccurate description of dynamics of engines when the engine accelerates/decelerates in a broad range and operates away from the equilibria. Meanwhile, to ensure stable operation of turbofan engines, the engine pressure ratio (EPR) needs to be regulated when turning on afterburner. According to this complex multi-input multi-output (MIMO) problem mixed with disturbances, this paper proposes a hybrid H/H2 robust control framework based on off-equilibrium linearization. We first establish an off-equilibrium linearization based polynomial LPV model for the MIMO turbofan engine, and then design an H/H2 robust controller by solving sum-of-squares (SOS) programing. The simulation results show that the controller can simultaneously achieve fast dual command tracking and disturbance suppression when turning on afterburner. Furthermore, this control framework is superior to the equilibrium linearization-based controller in many aspects, which further proves the accuracy of the off-equilibrium based LPV model. © 2023 by ASME
Original languageEnglish
Article number111006
JournalJournal of Engineering for Gas Turbines and Power
Volume145
Issue number11
Online published29 Sept 2023
DOIs
Publication statusPublished - Nov 2023
Externally publishedYes

Research Keywords

  • Control equipment
  • Design
  • Engines
  • Equilibrium (Physics)
  • Turbofans
  • Robust control
  • Polynomials
  • Errors
  • Dynamics (Mechanics)

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