Direct Surge Margin Control for Aeroengines Based on Improved SVR Machine and LQR Method

A novel scheme of high stability engine control (HISTEC) on the basis of an improved linear quadratic regulator (ILQR), called direct surge margin control, is derived for super-maneuver flights. Direct surge margin control, which is different from conventional control scheme, puts surge margin into...

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Main Authors: Haibo Zhang, Fengyong Sun
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/870215
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spelling doaj-e1e567b28d3e40d5b835eea65a4d561a2020-11-24T22:42:48ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/870215870215Direct Surge Margin Control for Aeroengines Based on Improved SVR Machine and LQR MethodHaibo Zhang0Fengyong Sun1College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaCollege of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, ChinaA novel scheme of high stability engine control (HISTEC) on the basis of an improved linear quadratic regulator (ILQR), called direct surge margin control, is derived for super-maneuver flights. Direct surge margin control, which is different from conventional control scheme, puts surge margin into the engine closed-loop system and takes surge margin as controlled variable directly. In this way, direct surge margin control can exploit potential performance of engine more effectively with a decrease of engine stability margin which usually happened in super-maneuver flights. For conquering the difficulty that aeroengine surge margin is undetectable, an approach based on improved support vector regression (SVR) machine is proposed to construct a surge margin prediction model. The surge margin modeling contains two parts: a baseline model under no inlet distortion states and the calculation for surge margin loss under supermaneuvering flight conditions. The previous one is developed using neural network method, the inputs of which are selected by a weighted feature selection algorithm. Considering the hysteresis between pilot input and angle of attack output, an online scrolling window least square support vector regression (LSSVR) method is employed to firstly estimate inlet distortion index and further compute surge margin loss via some empirical look-up tables.http://dx.doi.org/10.1155/2013/870215
collection DOAJ
language English
format Article
sources DOAJ
author Haibo Zhang
Fengyong Sun
spellingShingle Haibo Zhang
Fengyong Sun
Direct Surge Margin Control for Aeroengines Based on Improved SVR Machine and LQR Method
Mathematical Problems in Engineering
author_facet Haibo Zhang
Fengyong Sun
author_sort Haibo Zhang
title Direct Surge Margin Control for Aeroengines Based on Improved SVR Machine and LQR Method
title_short Direct Surge Margin Control for Aeroengines Based on Improved SVR Machine and LQR Method
title_full Direct Surge Margin Control for Aeroengines Based on Improved SVR Machine and LQR Method
title_fullStr Direct Surge Margin Control for Aeroengines Based on Improved SVR Machine and LQR Method
title_full_unstemmed Direct Surge Margin Control for Aeroengines Based on Improved SVR Machine and LQR Method
title_sort direct surge margin control for aeroengines based on improved svr machine and lqr method
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2013-01-01
description A novel scheme of high stability engine control (HISTEC) on the basis of an improved linear quadratic regulator (ILQR), called direct surge margin control, is derived for super-maneuver flights. Direct surge margin control, which is different from conventional control scheme, puts surge margin into the engine closed-loop system and takes surge margin as controlled variable directly. In this way, direct surge margin control can exploit potential performance of engine more effectively with a decrease of engine stability margin which usually happened in super-maneuver flights. For conquering the difficulty that aeroengine surge margin is undetectable, an approach based on improved support vector regression (SVR) machine is proposed to construct a surge margin prediction model. The surge margin modeling contains two parts: a baseline model under no inlet distortion states and the calculation for surge margin loss under supermaneuvering flight conditions. The previous one is developed using neural network method, the inputs of which are selected by a weighted feature selection algorithm. Considering the hysteresis between pilot input and angle of attack output, an online scrolling window least square support vector regression (LSSVR) method is employed to firstly estimate inlet distortion index and further compute surge margin loss via some empirical look-up tables.
url http://dx.doi.org/10.1155/2013/870215
work_keys_str_mv AT haibozhang directsurgemargincontrolforaeroenginesbasedonimprovedsvrmachineandlqrmethod
AT fengyongsun directsurgemargincontrolforaeroenginesbasedonimprovedsvrmachineandlqrmethod
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