航空发动机叶片原位检测的可吸附连续体机器人运动建模及控制研究
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TP242 TH712 TH165

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国家自然科学基金项目(52305092)、江苏省研究生科研创新计划项目(KYCX24_3219)资助


Motion modeling and control study of an adsorbable continuum robot for in-situ inspection of aero-engine blades
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    摘要:

    针对现有航空发动机叶片原位检测机器人柔顺性差、负载能力低及结构刚度不足的问题,设计了一种绳驱动可吸附连 续体机器人,以解决连续体结构高柔性与低刚度间的矛盾。 该机器人基于叶片环境特征及章鱼触手吸附机理,由多节卯榫柔性 关节与气压吸附单元串联构成,通过主动吸附增强结构刚度并防止变形失稳。 基于改进的 D-H 法和欧拉变换原理建立运动学 模型,分析其弯曲变形与结构参数间的映射关系,并通过有限元 ANSYS 对结构刚度和变形特性进行分析。 实验平台验证了所 建运动模型及控制性能,结果表明,机器人最大负载达 4. 42 N,且在相同负载下末端位置偏差较传统连续体结构分别降低 78% 和 57. 5% ,由此验证了所提可吸附连续体结构及所建模型的正确性和有效性。

    Abstract:

    To address the problems of poor flexibility, low load capacity, and insufficient structural rigidity of the existing in-situ inspection robots for aero-engine blades, a rope-driven adsorbable continuum robot is designed to solve the contradiction between high flexibility and low rigidity of the continuum structure. Based on the characteristics of the leaf environment and the mechanism of octopus tentacle adsorption, the robot consists of multiple mortise-and-tenon flexible joints connected in series with pneumatic pressure adsorption units, which enhances the structural stiffness and prevents deformation and destabilization through active adsorption. The kinematic model is formulated based on the improved D-H method and the Euler transformation principle. The mapping relationship between its bending deformation and structural parameters is analyzed. The structural stiffness and deformation characteristics are analyzed by using finite element ANSYS. The experimental platform evaluates the proposed kinematic model and control performance. Compared with the traditional continuum structure, the results show that the maximum load of the robot reaches 4. 42 N, and the end position deviation under the same load is reduced by 78% and 57. 5% , respectively. Thus, the correctness and validity of the proposed adsorbable continuum structure and the proposed model are verified. Keywords:continuum robot; aero-engine blade inspection;

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齐 飞,葛奕玮,刘先军,孙 露,郑宏儒.航空发动机叶片原位检测的可吸附连续体机器人运动建模及控制研究[J].仪器仪表学报,2024,45(10):97-109

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  • 在线发布日期: 2025-01-03
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