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

机译:基于改进的SVR机和LQR方法的航空发动机直接喘振裕度控制

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摘要

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.
机译:针对超机动飞行,提出了一种基于改进的线性二次调节器(ILQR)的高稳定性发动机控制(HISTEC)的新颖方案,称为直接喘振裕度控制。直接喘振裕度控制与常规控制方案不同,将喘振裕度输入到发动机闭环系统中,并直接将喘振裕度作为控制变量。这样,直接喘振裕度控制可以有效地利用发动机的潜在性能,同时减少通常在超机动飞行中发生的发动机稳定性裕度。为了克服航空发动机喘振裕度无法检测的困难,提出了一种基于改进的支持向量回归机的方法来建立喘振裕度预测模型。喘振裕度建模包括两个部分:无进气口变形状态下的基线模型和超机动飞行条件下喘振裕度损失的计算。前一个是使用神经网络方法开发的,其输入是通过加权特征选择算法选择的。考虑到飞行员输入和攻角输出之间的滞后现象,采用在线滚动窗口最小二乘支持向量回归(LSSVR)方法首先估计进气道变形指数,然后通过一些经验查询表进一步计算喘振裕量损失。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第17期|870215.1-870215.17|共17页
  • 作者

    Zhang Haibo; Sun Fengyong;

  • 作者单位

    Nanjing Univ Aeronaut & Astronaut, Coll Energy & Power Engn, Nanjing 210016, Jiangsu, Peoples R China.;

    Nanjing Univ Aeronaut & Astronaut, Coll Energy & Power Engn, Nanjing 210016, Jiangsu, Peoples R China.;

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