挖掘臂电液伺服系统非线性辨识
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国家自然科学基金资助项目(50875261)


Nonlinear Identification of Excavator Arm’s Electro-hydraulic Servo System
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    摘要:

    针对机理建模存在未建模动态及其参数辨识难的问题,采用由分段非线性模块、线性时不变动态模块及间隙非线性模块串联组成的Pseudo-Hammerstein-Wiener模型来描述挖掘臂电液伺服系统。利用关键变量分离原理将系统模型化解为最小二乘格式,再采用带中间变量估计的改进递推最小二乘算法进行辨识。实验表明,辨识所得Pseudo-Hammerstein-Wiener模型能很好地逼近实际系统,误差比Hammerstein及线性模型分别减少29%及68%。

    Abstract:

    Aiming at the problem that there are unmodeled dynamics by theoretic modeling and it is also difficult to identify, a Pseudo-Hammerstein-Wiener model with cascade connection of a two-segment polynomial nonlinearity block, a time-invariant linear system, and a backlash nonlinear term was adopted to model the electro-hydraulic servo system of excavator arm. The key term separation principle was used to decompose the model into a linear-in-parameter format, and a refined recursive least square method supplemented with the estimation of internal variables was proposed to identify the decomposed parameters. Experiments demonstrated that the identified Pseudo-Hammerstein-Wiener model approximated the actual system well. Comparing with Hammerstein and ARX model, the error of the Pseudo-Hammerstein-Wiener was reduced by 29% and 68%, respectively. 

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黎波,严骏,刘安心,曾拥华,郭刚.挖掘臂电液伺服系统非线性辨识[J].农业机械学报,2012,43(4):20-25,131.

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  • 在线发布日期: 2012-04-18
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