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    Volume 48, Issue 4 (July 2020)

    A Kinematic Calibration Method of the Articulated Arm Coordinate Measuring Machine Using Niching Chaos Optimization Algorithm

    (Received 9 March 2018; accepted 26 June 2018)

    Published Online: 2020

    CODEN: JTEVAB

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    Abstract

    Articulated arm coordinate measuring machine (AACMM) is a kind of portable coordinate measuring equipment, which employs a series of rotating joints. In order to improve the measuring accuracy and repeatability of AACMM, it is essential to calibrate the kinematic parameters of AACMM. The calibration process is a kind of nonlinear optimization problem and can be solved by employing various optimization algorithms most including Levenberg–Marquardt algorithm (LMA) and trust region algorithm. Recently, evolutionary computation (EC) has been extensively studied and applied to many engineering problems, since they have some positive features such as easy implementation, broad applicability and robust mechanism of escaping from the local optimum. Chaos optimization algorithm (COA) is one of the evolutionary computation, which utilizes chaotic numerical sequences. In this article, a new kinematic calibration approach for AACMM is proposed by using niching chaos optimization algorithm (NCOA). A hybrid objective function for kinematic calibration is proposed that reflects the various performance tests including single-point articulation performance test, effective diameter performance test and volumetric performance test. Levenberg–Marquardt algorithm and niching chaos optimization algorithm are applied for calibrating the kinematic parameters. Niching chaos optimization algorithm shows competitive calibration performance to Levenberg–Marquardt algorithm. The experimental results demonstrate that the measurement accuracy calibrated using NCOA has been better than that of using LMA in terms of the root-mean-square deviation. The experimental results demonstrate that the measurement accuracy calibrated using NCOA has been better than that of using LMA in terms of the root-mean-square deviation.

    Author Information:

    Rim, Cholmin
    School of Management, Harbin Institute of Technology, Harbin, Heilongjiang Province

    Department of Electronics and Automation, Kim II Sung University, Pyongyang,

    Rim, Chang-Hyon
    School of Management, Harbin Institute of Technology, Harbin, Heilongjiang Province

    Department of Machine Engineering, Kim Chaek University of Technology, Pyongyang,

    Chen, Gang
    School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, Heilongjiang Province

    Sin, Yongchol
    Department of Electronics and Automation, Kim II Sung University, Pyongyang,

    Kim, Kukchol
    School of Management, Harbin Institute of Technology, Harbin, Heilongjiang Province

    Department of Resource Development Machinery, Pyongyang University of Mechanical Engineering, Munhung-dong, Pyongyang,


    Stock #: JTE20180174

    ISSN:0090-3973

    DOI: 10.1520/JTE20180174

    Author
    Title A Kinematic Calibration Method of the Articulated Arm Coordinate Measuring Machine Using Niching Chaos Optimization Algorithm
    Symposium ,
    Committee E28