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High-speed positioning of an industrial robot based on Preview-Learning control
Abstract:In this study, a numerical procedure for designing kinematic parameters of SCARA-type manipulators is proposed to yield such a design that the resulting manipulator has the fastest cycle time for a given task. To achieve this goal, an optimization problem is formulated to minimize the cycle time by determining geometric parameters such as the link lengths and the locations of manipulators as well as the trajectory. The representative task to get the cycle time is defined as CP (continuous path) motion along the path crisscrossing the standard working area. A gradient projection algorithm is used to obtain the optimal design with the assumption that each actuator should exert a torque and angular velocity within the capacity of specific commercially available direct-drive motors. SCARA-type manipulators of both absolute coordinate and relative coordinate types are designed to reduce the cycle times. The results show that the absolute coordinate manipulator produces a shorter cycle time than the relative coordinate manipulator in optimal designs.
Keywords:LEARNING CONTROL  REPETITIVE CONTROL  PREVIEW CONTROL  MOTOR POSITION CONTROLLER  INDUSTRIAL ROBOT  HIGH-SPEED POSITIONING  VIBRATION CONTROL
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