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基于模擬退火算法的機械臂剛度辨識構(gòu)型優(yōu)化與實驗
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遼寧省中央引導(dǎo)地方科技發(fā)展專項(2021JH6/10500132)


Method and Experiment of Configuration Optimization for Manipulator Stiffness Identification Based on Simulated Annealing Algorithm
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    摘要:

    針對機械臂關(guān)節(jié)剛度辨識的測量構(gòu)型提出了新的優(yōu)化方法和實驗設(shè)計思路,。首先,,綜合考慮機械臂形位以及載荷矢量對剛度辨識的影響,,采用參數(shù)κ-1F(A)作為測量構(gòu)型評價指標(biāo),。在此基礎(chǔ)上,,通過合適的模擬退火優(yōu)化算法得到基于κ-1F(A)的最優(yōu)測量構(gòu)型,?;谠O(shè)計的多向加載裝置實現(xiàn)了載荷的優(yōu)化加載,。實驗結(jié)果表明,與典型評價指標(biāo)κ-1F(J)相比,,κ-1F(A)的最優(yōu)化測量構(gòu)型能更好地克服多種測量誤差影響,,補償后末端位置精度提高29.59%,最大位置誤差降低32.71%,??蓱?yīng)用于實際工業(yè)環(huán)境中的串聯(lián)機械臂剛度標(biāo)定。

    Abstract:

    Positioning accuracy is of great significance for industrial applications. Nevertheless, in actual machining operations, deformation will generate on the endeffector of industrial manipulators under external loads due to the flexibility of actuated joints. In industrial environment, the stiffness identification accuracy of serial manipulators is affected by various measurement errors. However, there is little research on dealing with the inevitable error perturbation. An optimization method and experimental design were proposed for measurement configuration of manipulator stiffness identification. Firstly, κ-1F(A) was adopted as the evaluation criterion of measurement configuration considering comprehensively the influence of manipulator posture and wrench on stiffness identification. On this basis, optimal configurations based on κ-1F(A) were obtained by the appropriate simulated annealing algorithm. The optimized loading was achieved on the basis of the designed multi-directional loading setup. The experimental results showed that compared with the typical evaluation criterion κ-1F(J), the optimal configurations based on κ-1F(A) can better overcome the impact of various measurement errors. After displacement compensation, the end position accuracy was increased by 29.59%, and the maximum end position error was reduced by 32.71% compared with the typical criterion set. The proposed method can be subsequently applied to the stiffness identification of serial manipulators in industrial environment.

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姜雪潔,房立金.基于模擬退火算法的機械臂剛度辨識構(gòu)型優(yōu)化與實驗[J].農(nóng)業(yè)機械學(xué)報,2023,54(1):419-424. JIANG Xuejie, FANG Lijin. Method and Experiment of Configuration Optimization for Manipulator Stiffness Identification Based on Simulated Annealing Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2023,54(1):419-424.

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  • 收稿日期:2022-03-16
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  • 在線發(fā)布日期: 2023-01-10
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