计算机仿真2024,Vol.41Issue(2) :38-43,440.

六自由度飞机清洗臂运动学建模与轨迹优化

Kinematic Modeling and Trajectory Optimization of Six-DOF Aircraft Cleaning Arm

张宏伟 赵修锟 张天刚
计算机仿真2024,Vol.41Issue(2) :38-43,440.

六自由度飞机清洗臂运动学建模与轨迹优化

Kinematic Modeling and Trajectory Optimization of Six-DOF Aircraft Cleaning Arm

张宏伟 1赵修锟 2张天刚2
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作者信息

  • 1. 中国民航大学工程技术训练中心,天津 300300
  • 2. 中国民航大学航空工程学院,天津 300300
  • 折叠

摘要

传统飞机清洗车由于关节运动不稳定,清洗时间长,清洗效率低造成无法对机身蒙皮进行快捷高效清洗.针对心目问题,设计了六自由度飞机清洗臂,为验证机械臂的运动性能,运用改进D-H法进行运动学分析得到机械臂末端转换矩阵,设计了GUI计算运动学正逆解.并提出将改进粒子群算法与3-5-3 分段插值相结合的方法对飞机清洗臂进行时间最优轨迹规划.通过仿真结果显示,与传统 3-5-3 多项式插值相比,上述方法在保证运动稳定性的同时缩短了运动时间.为以后飞机清洗臂的路径规划与控制问题的研究奠定了基础.

Abstract

Traditional aircraft cleaning vehicles,due to unstable joint movement,long cleaning time,and low cleaning efficiency,are unable to quickly and efficiently clean the fuselage skin.In response to this problem,a 6-DOF aircraft cleaning robot was designed.In order to verify the kinematic performance of the robot,the improved D-H method was used for kinematic analysis to obtain the end-of-arm conversion matrix.A GUI was designed to calculate kinematic positive and negative solutions.In addition,a method combined the improved particle swarm optimization with 3-5-3 segmental interpolation was proposed to plan the time-optimal trajectory of the aircraft cleaning arm.Simulation results show that compared with the traditional 3-5-3 polynomial interpolation,this method can shorten the motion time while ensuring motion stability,which lays some foundation for the study on path planning and control problems of aircraft cleaning arms.

关键词

飞机清洗/运动学/改进粒子群算法/轨迹优化

Key words

Aircraft cleaning/Kinematics/Improved particle swarm optimization/Trajectory optimization

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基金项目

国家自然科学基金(U2033211)

航空科学基金(2020Z049067002)

出版年

2024
计算机仿真
中国航天科工集团公司第十七研究所

计算机仿真

CSTPCD
影响因子:0.518
ISSN:1006-9348
参考文献量14
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