Research on Nonlinear Model Identification of the Hydragas Suspension Based on Structure-selection Techniques
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摘要: 建立利用位移和速度的多项式来表示输出力的油气悬架模型。针对传统的最小二乘法在多项式形式的模型辨识中无法确定模型中的有效项的问题,提出了用误差减小比率的结构选择技术,来选择油气悬架模型多项式结构中的有效项并确定这些有效项的系数。以某型车辆的油气悬架为应用对象,结果表明利用这种基于误差减少比例的结构选择技术的模型辨识方法,能够用简洁的多项式结构和准确的系数表示油气悬架模型。Abstract: The model of hydragas suspension is that the output force is expressed with a polynomial structure of displacement and speed. Conventional least square method can not determine the significant polynomial terms. In order to solve this problem,the err-reduction-ratio(ERR) structure-selection technique is proposed to select the significant polynomial terms and estimate the unknown parameters in the model. The hydragas suspension of a armored vehicle is used to illustrate the feasibility of the proposed method. The results show that the proposed strategy is effective in modeling hydragas suspension with concise polynomial structure and accurate parameters.
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Key words:
- error-reduction-ratio /
- hydragas suspension /
- mean square error /
- model identification
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