Robust tracking control of aero-engine rotor speed based on switched LPV model

Liu, Tong-Jian; Du, Xian; Sun, Xi‐Ming; Richter, Hanz; Zhu, Fei

doi:10.1016/j.ast.2019.05.031

Cited by 39 publications

(10 citation statements)

References 18 publications

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“…This filter is transformed into an H∞ filtering problem for the filtering error system with uncertain parameters. In Liu et al (2019), an LPV model for the aero-engine dynamics is constructed. Next, a theoretical sufficiency criterion is provided to guarantee H∞ performance based on LMI.…”

Section: Related Workmentioning

confidence: 99%

Robust LFT-LPV H∞ Control of an Underactuated Inverted Pendulum on a Cart with Optimal Weighting Functions Selection by GA and ES

Hasseni

Abdou

2020

Acta Mechanica Et Automatica

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This article investigates the robust stabilization and control of the inverted pendulum on a cart against disturbances, measurement noises, and parametric uncertainties by the LFT-based LPV technique (Linear-Fractional-Transformation based Linear-Parameter-Varying). To make the applying of the LPV technique possible, the LPV representation of the inverted pendulum on a cart model is developed. Besides, the underactuated constraint of this vehicle is overcome by considering both degrees of freedom (the rotational one and the translational one) in the structure. Moreover, the selection of the weighting functions that represent the desired performance is solved by two approaches of evolutionary algorithms; Genetic Algorithms (GA) and Evolutionary Strategies (ES) to find the weighting functions’ optimal parameters. To validate the proposed approach, simulations are performed and they show the effectiveness of the proposed approach to obtain robust controllers against external signals, as well as the parametric uncertainties.

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Section: Related Workmentioning

confidence: 99%

Robust LFT-LPV H∞ Control of an Underactuated Inverted Pendulum on a Cart with Optimal Weighting Functions Selection by GA and ES

Hasseni

Abdou

2020

Acta Mechanica Et Automatica

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“…To overcome this problem, the switched LPV system comes into many scholars' eyes and arouses their research enthusiasm [9,10]. More and more scholars have introduced a switching signal into a LPV system to form a switched LPV system to describe the aero-engine system [11,12]. Since the switched LPV model can obtain a better approximation of the nonlinear dynamics than a single LPV model for aero-engines, the related modeling method and control strategy are investigated increasingly [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Optimal control of aero‐engine systems based on a switched LPV model

Wang

Liu

Shi

2021

Asian Journal of Control

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In this paper, an optimal control problem for aero-engines based on a switched linear parameter varying (LPV) model is solved. Firstly, according to the change of external flight conditions, a switched LPV model with different altitudes and Mach numbers is established for aero-engines. Then, since the optimal control of the parameter-dependent switched system cannot be dealt with by traditional methods, we thus propose an optimal control method for the switched LPV system, which includes solving the optimal continuous inputs and the optimal switching instants. Finally, simulations and a hardware in-the-loop test of an aero-engine control system are presented to verify the effectiveness and superiority for the proposed optimal control method.

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“…The LPV model was converted to a switched convex polytopic form with hysteresis switching logic, and a switched LPV model of aero-engine rotor speed was obtained in Ref. [24]. With the development of LPV technology, many studies have appeared on the control method of turbofan engines in a wide range of operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Control-Oriented Modeling for Nonlinear MIMO Turbofan Engine Based on Equilibrium Manifold Expansion Model

Wang

Dai

et al. 2021

Energies

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This paper investigates the control-oriented modeling for turbofan engines. The nonlinear equilibrium manifold expansion (EME) model of the multiple input multiple output (MIMO) turbofan engine is established, which can simulate the variation of high-pressure rotor speed, low-pressure rotor speed and pressure ratio of compressor with fuel flow and throat area of the nozzle. Firstly, the definitions and properties of the equilibrium manifold method are presented. Secondly, the steady-state and dynamic two-step identification method of the MIMO EME model is given, and the effects of scheduling variables and input noise on model accuracy are discussed. By selecting specific path, a small amount of dynamic data is used to identify a complete EME model. Thirdly, modeling and simulation at dynamic off-design conditions show that the EME model has model accuracy close to the nonlinear component-level (NCL) model, but the model structure is simpler and the calculation is faster than that. Finally, the linearization results are obtained based on the properties of the EME model, and the stability of the model is proved through the analysis of the eigenvalues, which all have negative real parts. The EME model constructed in this paper can meet the requirements of real-time simulation and control system design.

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Robust tracking control of aero-engine rotor speed based on switched LPV model

Cited by 39 publications

References 18 publications

Robust LFT-LPV H∞ Control of an Underactuated Inverted Pendulum on a Cart with Optimal Weighting Functions Selection by GA and ES

Robust LFT-LPV H∞ Control of an Underactuated Inverted Pendulum on a Cart with Optimal Weighting Functions Selection by GA and ES

Optimal control of aero‐engine systems based on a switched LPV model

Control-Oriented Modeling for Nonlinear MIMO Turbofan Engine Based on Equilibrium Manifold Expansion Model

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