A Novel Real-Time Mechanism Modeling Approach for Turbofan Engine

Chen, Qianjing; Huang, Jinquan; Pan, Muxuan; Lü, Feng

doi:10.3390/en12193791

Cited by 10 publications

(4 citation statements)

References 21 publications

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“…In order to validate the effectiveness of the proposed approach, it was applied to a locally linear system of a turbofan engine in [26]. The linear model is as follows:…”

Section: Simulation Resultsmentioning

confidence: 99%

H2/H∞ Output Tracking Control with a Performance Compensator for Aeroengines

et al. 2020

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A robust output tracking controller is necessary for the safe and reliable operation of aeroengines. This paper aims at developing an H 2 / H ∞ output tracking approach for aeroengines. In order to improve the tracking performance of the traditional robust tracker, the proposed control structure is designed as a combination of a nominal controller and a compensator. Concretely, an H 2 / H ∞ nominal controller is derived from game algebraic Raccati equation (GARE), which facilitates establishing a compensator for the system. Since the reference is usually unknown in advance for practical application, the proposed compensator is calculated online according to the nominal controller and the current reference. The solvability of the compensator and the stability of the system is guaranteed for both stable and bounded unstable references. Simulation examples for a turbofan engine are provided to demonstrate the effectiveness of the proposed algorithm.

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“…In order to validate the effectiveness of the proposed approach, it was applied to a locally linear system of a turbofan engine in [26]. The linear model is as follows:…”

Section: Simulation Resultsmentioning

confidence: 99%

H2/H∞ Output Tracking Control with a Performance Compensator for Aeroengines

et al. 2020

Self Cite

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“…The partial derivative method is a common method for obtaining the linear model of aero-engines [30]. This method first perturbs a given state variable with a small disturbance, while keeping all other control variables and state variables constant.…”

Section: Linearization Of Nonlinear Modelsmentioning

confidence: 99%

A Linear Iterative Controller for Software Defined Control Systems of Aero-Engines Based on LMI

Ren

et al. 2023

Actuators

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Currently, most control systems of the aero-engines possess a central controller. The core tasks for the control system, such as control law calculations, are executed in this central controller, and its performance and reliability greatly impact the entire control system. This paper introduces a control system design named Software Defined Control Systems (SDCS), which features a controller-decentralized architecture. In SDCS, a network composed of a set of nodes serves as the controller, so there is no central controller in the system, and computations are distributed throughout the entire network. Since the controller is decentralized, there is a need for decentralized control tasks. To address this, this paper introduces a method for designing decentralized control tasks using periodic linear iteration. Each node in the network periodically broadcasts its own state and updates its next-step state as a weighted sum of its current state and the received current states of other nodes in the network. Each node in the network acts as a linear dynamic controller and maintains an internal state through information exchange with other nodes. We modeled the decentralized controller and obtained the model of the entire control system, and the workload of each obtained decentralized control task is balanced. Then, we obtained a parameter tuning method for each decentralized controller node based on Linear Matrix Inequalities (LMI) to stabilize the closed-loop system. Finally, the effectiveness of the proposed method was verified through digital simulation.

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“…However, for aero engines, it is difficult to build LTI models in the full flying envelope and variety of working states; also, the regularity of the parameters' variation is poor [24,25]. The interpolation of the LTI parameters can be very complicated and time-consuming in the full envelope, and even fail to stabilize the system [26].…”

Section: Introductionmentioning

confidence: 99%

An Online Data-Driven LPV Modeling Method for Turbo-Shaft Engines

Pang

Zhou

et al. 2022

Energies

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The linear parameter-varying (LPV) model is widely used in aero engine control system design. The conventional local modeling method is inaccurate and inefficient in the full flying envelope. Hence, a novel online data-driven LPV modeling method based on the online sequential extreme learning machine (OS-ELM) with an additional multiplying layer (MLOS-ELM) was proposed. An extra multiplying layer was inserted between the hidden layer and the output layer, where the hidden layer outputs were multiplied by the input variables and state variables of the LPV model. Additionally, the input layer was set to the LPV model’s scheduling parameter. With the multiplying layer added, the state space equation matrices of the LPV model could be easily calculated using online gathered data. Simulation results showed that the outputs of the MLOS-ELM matched that of the component level model of a turbo-shaft engine precisely. The maximum approximation error was less than 0.18%. The predictive outputs of the proposed online data-driven LPV model after five samples also matched that of the component level model well, and the maximum predictive error within a large flight envelope was less than 1.1% with measurement noise considered. Thus, the efficiency and accuracy of the proposed method were validated.

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A Novel Real-Time Mechanism Modeling Approach for Turbofan Engine

Cited by 10 publications

References 21 publications

H2/H∞ Output Tracking Control with a Performance Compensator for Aeroengines

H2/H∞ Output Tracking Control with a Performance Compensator for Aeroengines

A Linear Iterative Controller for Software Defined Control Systems of Aero-Engines Based on LMI

An Online Data-Driven LPV Modeling Method for Turbo-Shaft Engines

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