A visual six-degree of freedom posture measurement system for evaluation of parallel manipulators using a pyramidal mirror and a phase-encoded binary scale
Jong-Ahn Kim , Jae Yong Lee , Chu-Shik Kang , Jae Heun Woo
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引用次数: 0
Abstract
We propose a vision-based six-degree of freedom (6-DOF) posture measurement system for evaluating parallel manipulators in precision motion control applications. The system acquires 6-DOF information by capturing four coordinate sets of center points from partial images of a phase-encoded binary scale attached to the manipulator’s moving plate. A monocular vision system, combined with a pyramidal mirror and adjustable beam-steering mirrors, enables optimized lines of sight for improved sensitivity and measurement range. A telecentric lens reduces distortion, and a decoding algorithm enhances accuracy. A self-calibration algorithm further refines precision using redundant coordinates. The system achieved axial stability of 0.04 μm and 0.17″, with posture measurement deviations within ±0.58 μm and ±2.8″ compared to a reference system, representing substantial improvements over best existing method with readout stability of 5.4 μm and 8.3″. Sensitivity to uncertainty sources was analyzed using Jacobian matrices. The proposed system provides a compact, high-precision, and practical solution for in situ calibration and performance evaluation of parallel manipulators and robotic systems.
We propose a vision-based six-degree of freedom (6-DOF) posture measurement system for evaluating parallel manipulators in precision motion control applications. The system acquires 6-DOF information by capturing four coordinate sets of center points from partial images of a phase-encoded binary scale attached to the manipulator’s moving plate. A monocular vision system, combined with a pyramidal mirror and adjustable beam-steering mirrors, enables optimized lines of sight for improved sensitivity and measurement range. A telecentric lens reduces distortion, and a decoding algorithm enhances accuracy. A self-calibration algorithm further refines precision using redundant coordinates. The system achieved axial stability of 0.04 μm and 0.17″, with posture measurement deviations within ±0.58 μm and ±2.8″ compared to a reference system, representing substantial improvements over best existing method with readout stability of 5.4 μm and 8.3″. Sensitivity to uncertainty sources was analyzed using Jacobian matrices. The proposed system provides a compact, high-precision, and practical solution for in situ calibration and performance evaluation of parallel manipulators and robotic systems.
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.