Joint-Space Kinematic Model for Gravity-Referenced Joint Angle Estimation of Heavy-Duty Manipulators

Juho Vihonen, Jouni Mattila, Ari Visa

    Research output: Contribution to journalArticleScientificpeer-review

    26 Citations (Scopus)

    Abstract

    A gravity-referenced joint angle estimation, which acts in joint space, is proposed for multiple-degree-of-freedom hydraulic manipulators. As a novelty, the estimation pairs up inertial units across a section of an open kinematic chain. In this way, the three-axis linear accelerometers and the three-axis rate gyros provide a drift-free solution for observing the motion state of a rotary joint connecting two links without relying on the full forward kinematics. For a low-noise, low-delay estimate, the linear accelerations acting on the paired inertial units are modeled and robustly combined with the principles of complementary and Kalman filtering. In pick-and-place experiments with a serial-link manipulator on a multiton, off-road forestry vehicle, joint angle sensing error of less than ±1° was achieved in spite of the dynamic interaction between the vehicle base and the terrain. Furthermore, the kinematic modeling's ability to compensate for the nonplanar, coupled 3-D linkage motion is studied for one- and two-axis rate measurements along with Cartesian path tracking. This gives new insights from the typical planar kinematic models and heavy-duty control viewpoints.

    Original languageEnglish
    Pages (from-to)3280-3288
    JournalIEEE Transactions on Instrumentation and Measurement
    Volume66
    Issue number12
    DOIs
    Publication statusPublished - 2017
    Publication typeA1 Journal article-refereed

    Keywords

    • Acceleration
    • Accelerometers
    • Couplings
    • Estimation
    • gyroscopes
    • Kinematics
    • kinematics
    • Manipulators
    • manipulators
    • microelectromechanical devices.
    • Robot sensing systems

    Publication forum classification

    • Publication forum level 2

    ASJC Scopus subject areas

    • Instrumentation
    • Electrical and Electronic Engineering

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