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Research on Improved Hybrid Polynomial Interpolation Algorithm for Rail Inspection Robot

Published: 31 December 2021 Publication History
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  • Abstract

    In order to ensure the track stability when the rail inspection robot automatically tracks the moving target and reduce the amplitude of angular velocity and angular acceleration, it is necessary to study the trajectory planning strategy. Aiming at the problem that the amplitude of angular velocity and angular acceleration of 3-5-3 hybrid polynomial interpolation algorithm is too high, a 3-3-5 hybrid polynomial interpolation trajectory planning method is proposed. Firstly, the D-H (Denavit-Hartenberg) model of the rail inspection robot is used to compute its kinematics equation. Secondly, according to the constraints of motion curve (angle, angular velocity, angular acceleration continuous), kinematics constraints are obtained and interpolation points are determined. Thirdly, the coefficient expression of the hybrid polynomial interpolation algorithm is solved by substituting kinematics constraints and interpolation points into the formula of the 3-3-5 hybrid polynomial interpolation algorithm. Finally, the 3-3-5 hybrid polynomial interpolation algorithm is simulated in MATLAB. The results show that the 3-3-5 hybrid polynomial interpolation algorithm can effectively reduce the amplitude of the angular velocity and angular acceleration, reduce the jerk of the motor, and improve the overall motion performance of the inspection robot.

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    cover image ACM Other conferences
    EITCE '21: Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering
    October 2021
    1723 pages
    ISBN:9781450384322
    DOI:10.1145/3501409
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 31 December 2021

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    Author Tags

    1. Improved Hybrid Polynomial Interpolation Algorithm
    2. Inspection Robot
    3. Kinematic Model
    4. Trajectory Planning

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    EITCE '21 Paper Acceptance Rate 294 of 531 submissions, 55%;
    Overall Acceptance Rate 508 of 972 submissions, 52%

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