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This paper presents a calibration method for parallel manipulators using a measurement system specially installed on an external fixed frame.The external fixed frame is important as an error reference for calibration in certain operations,such as in the configuration of a parallel manipulator functioning as a machine tool where the workpiece is fixed to a worktable.The pose of the end-effector is measured using three digital indicators installed on the external fixed frame.To enable measurement,the end-effector is assumed to be a plane large enough that all digital indicators could touch.The error is defined as the difference between the theoretical and actual readings of the digital indicators.The geometric parameters of the parallel manipulator are optimized to minimize this error.This calibration method is low cost and feasible for compensating geometric parameter errors for a parallel manipulator.Optimal pose selection for the calibration is achieved using a swarm intelligence search algorithm.The method is implemented on a prototype of a six degrees-of-freedom(DOFs) Gough-Stewart platform constructed to function as a machine tool.
This paper presents a calibration method for parallel manipulators using a measurement system specially installed on an external fixed frame is an as error error for calibration in certain operations, such as in the configuration of a parallel manipulator functioning as a machine tool where the workpiece is fixed to a worktable. The pose of the end-effector is measured using three digital indicators installed on the external fixed frame. To enable measurement, the end-effector is assumed to be a plane large enough that all digital indicators could touch the error is defined as the difference between the theoretical and actual readings of the digital indicators. the geometric parameters of the parallel manipulator are optimized to minimize this error. This calibration method is low cost and feasible for compensating geometric parameter errors for a parallel manipulator.Optimal pose selection for the calibration is achieved using a swarm intelligence sear ch algorithm. method implemented on a prototype of a six degrees-of-freedom (DOFs) Gough-Stewart platform constructed to function as a machine tool.