Research on self-learning control method for aircraft engine above idle state

Yu, Bing; Shen, Enyu; Huang, Yihuan; Lü, Feng

doi:10.1177/1687814016653888

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…They are "paper" models that cannot be adequately tested for real-world conditions. [1][2][3][4][5][6][7][8][9] To alleviate this issue, NASA has recently acquired the Price Induction DGEN 380 engine and built around it the DGEN Aero-propulsion Research Turbofan (DART) facility. This facility enables aero-propulsion technology studies at the system level to be examined on a relevant platform and move beyond the typical simulation system studies.…”

Section: Introductionmentioning

confidence: 99%

Propulsion Controls Modeling for a Small Turbofan Engine

Connolly

Csank²,

Chicatelli³

et al. 2017

53rd AIAA/SAE/ASEE Joint Propulsion Conference

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A nonlinear dynamic model and propulsion controller are developed for a small-scale turbofan engine. The small-scale turbofan engine is based on the Price Induction company's DGEN 380, one of the few turbofan engines targeted for the personal light jet category. Comparisons of the nonlinear dynamic turbofan engine model to actual DGEN 380 engine test data and a Price Induction simulation are provided. During engine transients, the nonlinear model typically agrees within 10% error, even though the nonlinear model was developed from limited available engine data. A gain scheduled proportional integral low speed shaft controller with limiter safety logic is created to replicate the baseline DGEN 380 controller. The new controller provides desired gain and phase margins and is verified to meet Federal Aviation Administration transient propulsion system requirements. In understanding benefits, there is a need to move beyond simulation for the demonstration of advanced control architectures and technologies by using real-time systems and hardware. The small-scale DGEN 380 provides a cost effective means to accomplish advanced controls testing on a relevant turbofan engine platform.

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Section: Introductionmentioning

confidence: 99%

Propulsion Controls Modeling for a Small Turbofan Engine

Connolly

Csank²,

Chicatelli³

et al. 2017

53rd AIAA/SAE/ASEE Joint Propulsion Conference

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Modeling and control schedule design of a two-dimensional thrust-vectoring nozzle and aeroengine

2020

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For advanced operational aircraft, the two-dimensional (2-D) thrust-vectoring (TV) nozzle effectively improves the flight mobility and post-stall manoevrability. However, its flow capacity decreases when deflecting and cooling air is injected, which impacts the engine’s operating state, including decreasing the fan surge margin and increasing the turbine inlet temperature. Therefore, in order to improve engine performance in the whole flight envelope, this paper studies the matching mechanism of the engine and the cooled 2-D TV nozzle, performance characterisation and control schedule of the nozzle, and an integrated aeroengine/nozzle modeling method is put forward. Based on these, an engine performance simulation model is modified to include a cooled 2-D TV nozzle. The testing results show that applying the nozzle control schedules recommended in this paper avoids the performance degradation when the nozzle deflects. This work advances the field of engine/nozzle integrated modeling, and helps to instruct the simulation and experimentation to better fit the needs of engine modeling and engineering applications.

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Research on self-learning control method for aircraft engine above idle state

Cited by 2 publications

References 8 publications

Propulsion Controls Modeling for a Small Turbofan Engine

Propulsion Controls Modeling for a Small Turbofan Engine

Modeling and control schedule design of a two-dimensional thrust-vectoring nozzle and aeroengine

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