Abstract
A novel thrust control method based on inverse control is proposed to improve engine response ability. The On Line Sliding Window Deep Neural Network (OL SW DNN) is proposed and adopted as inverse mapping model modeling method of inverse control. The OL SW DNN has deeper layer structure, which makes the inverse mapping model have stronger fitting capacity for nonlinear object than traditional NN. Moreover, due to adopt on-line learning modeling method, the proposed adaptive control method can obtain desired thrust whether engine degrades or not. The comparison simulations of the traditional control method based on PID and the proposed control method are carried out. Compared with the traditional control method, the proposed control method can obtain desired thrust when the engine degradation occurs, but also has fast response ability (the acceleration times for engine thrust increase to 95 % thrust of acceleration object decreases by 1.35 seconds).
Funding statement: This was supported in part by the National Natural Science Foundation of China under Grant 51576096, in part by Q. Lan and the 333 Project, in part by the Research Funds for Central Universities under Grant NF2018003, in part by Six Talents Peak Project of Jiangsu Province.
Nomenclature
- Symbol
-
Explanation
- H
-
Height
- Ma
-
Mach number
- PLA
-
Power level angle
- Wfb
-
Fuel flow
- F
-
Engine thrust
- T41
-
High pressure turbine inlet temperature
- Nf
-
Fan rotor speed
- Nc
-
Compressor rotor speed
- Smf
-
Fan surge margin
- Smc
-
Compressor surge marge
- Ps3
-
Combustor inlet pressure
- RU
-
Ratio Unit (Wfb /Ps3 )
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Articles in the same Issue
- Frontmatter
- Review
- Assessment of Exit Temperature Pattern Factors in an Annular Gas Turbine Combustor: An Overview
- Original Research Articles
- Optimization of Trenched Film Cooling Using RSM Coupled CFD
- Modeling of Relative Exergy Destruction for Turboprop Engine Components Using Deep Learning Artificial Neural Networks
- Direct Thrust Inverse Control of Aero-Engine Based on Deep Neural Network
- Entropy, Energy and Exergy for Measuring PW4000 Turbofan Sustainability
- A Centrifugal Compressor Performance Map Empirical Prediction Method for Automotive Turbochargers
- Unsteady Numerical Simulation in a Supersonic Compressor Cascade with a Strong Shock Wave
- CFD Study of Combined Impingement and Film Cooling Flow on the Internal Surface Temperature Distribution of a Vane
- CFD Analysis of Flow and Performance Characteristics of a 90°curved Rectangular Diffuser: Effects of Aspect Ratio and Reynolds Number
- Effects of the Recess Length of the Pilot Stage on the Lean Blowout Limits for the Multipoint Lean Direct Injection Combustors
- Stress and Vibration Analysis of a PDC (Pulse Detonation Chamber)
- Transverse Injection Experiments within an Axisymmetric Scramjet Combustor
Articles in the same Issue
- Frontmatter
- Review
- Assessment of Exit Temperature Pattern Factors in an Annular Gas Turbine Combustor: An Overview
- Original Research Articles
- Optimization of Trenched Film Cooling Using RSM Coupled CFD
- Modeling of Relative Exergy Destruction for Turboprop Engine Components Using Deep Learning Artificial Neural Networks
- Direct Thrust Inverse Control of Aero-Engine Based on Deep Neural Network
- Entropy, Energy and Exergy for Measuring PW4000 Turbofan Sustainability
- A Centrifugal Compressor Performance Map Empirical Prediction Method for Automotive Turbochargers
- Unsteady Numerical Simulation in a Supersonic Compressor Cascade with a Strong Shock Wave
- CFD Study of Combined Impingement and Film Cooling Flow on the Internal Surface Temperature Distribution of a Vane
- CFD Analysis of Flow and Performance Characteristics of a 90°curved Rectangular Diffuser: Effects of Aspect Ratio and Reynolds Number
- Effects of the Recess Length of the Pilot Stage on the Lean Blowout Limits for the Multipoint Lean Direct Injection Combustors
- Stress and Vibration Analysis of a PDC (Pulse Detonation Chamber)
- Transverse Injection Experiments within an Axisymmetric Scramjet Combustor