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挖掘臂電液伺服系統(tǒng)非線性辨識
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國家自然科學(xué)基金資助項目(50875261)


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

    針對機理建模存在未建模動態(tài)及其參數(shù)辨識難的問題,采用由分段非線性模塊、線性時不變動態(tài)模塊及間隙非線性模塊串聯(lián)組成的Pseudo-Hammerstein-Wiener模型來描述挖掘臂電液伺服系統(tǒng)。利用關(guān)鍵變量分離原理將系統(tǒng)模型化解為最小二乘格式,再采用帶中間變量估計的改進(jìn)遞推最小二乘算法進(jìn)行辨識。實驗表明,辨識所得Pseudo-Hammerstein-Wiener模型能很好地逼近實際系統(tǒng),誤差比Hammerstein及線性模型分別減少29%及68%。

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    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,嚴(yán)駿,劉安心,曾擁華,郭剛.挖掘臂電液伺服系統(tǒng)非線性辨識[J].農(nóng)業(yè)機械學(xué)報,2012,43(4):20-25,131. Li Bo, Yan Jun, Liu Anxin, Zeng Yonghua, Guo Gang. Nonlinear Identification of Excavator Arm’s Electro-hydraulic Servo System[J]. Transactions of the Chinese Society for Agricultural Machinery,2012,43(4):20-25,131.

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  • 在線發(fā)布日期: 2012-04-18
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