最小二乘支持向量回归机在发动机推力估计中的应用
Aeroengine thrust estimation using least squares support vector regression machine
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摘要: 实现直接推力控制的首要问题就是要估计出推力.基于最小二乘支持向量回归机提出了一种Wrapper算法进行特征选择,此算法不仅能降低计算的复杂度,而且能增强模型的泛化能力.另外,在对最小二乘支持向量回归机进行稀疏性建模的时候,用QR分解法代替传统的协方差法,增强了数值的稳定性.最后,推力估计器设计的应用实例,验证了本文提出的特征选择法和QR分解法进行稀疏性建模的可行性和实用性.
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关键词:
- 推力估计 /
- 最小二乘支持向量回归机 /
- 特征选择 /
- wrapper算法 /
- QR分解
Abstract: The first problem for direct thrust control is thrust estimation.A wrapper algorithm,which reduces the computational complexity and also enhances the model generalization performance,was proposed based on least squares support vector regression machine.In addition,as a surrogate of traditional covariance method,QR decomposition was utilized to build sparse model strengthening the numerical stability.Finally,a thrust estimator design was applied to validate the effectiveness and feasibility of the proposed feature selection algorithm and sparse model using QR decomposition. -
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