Trajectory planning and an efficient control scheme play a crucial role in improving the performance of pick-and-place robots. This paper introduces a novel method of trajectory planning with cycle time and path constraints. Assuming that a smooth trajectory is given, to be followed within a prescribed cycle time, the newly proposed method of trajectory planning removes the torque peaks of the actuators by a suitable scheduling of the velocity of the moving plate. Since pick-and-place robots are usually expected to meet the end poses in a certain time span, while disregarding the intermediate poses, the velocity can be tuned properly around the critical points of the trajectory by means of a time-scaling function. Moreover, the authors report the formulation of a linear quadratic regulator (LQR) controller with normalized variables to be used in conjunction with our trajectory-tracking control scheme for an in-house-developed Schönflies-motion generator. This parallel robot offers a functionally symmetric, single-loop architecture, with an isostatic kinematic chain, and virtually unlimited rotatability of its gripper. A comparison between two actuation systems developed by the authors is conducted via simulation results.
Trajectory-Planning and Normalized-Variable Control for Parallel Pick-and-Place Robots
Contributed by the Mechanisms and Robotics Committee of ASME for publication in the Journal of Mechanisms and Robotics. Manuscript received June 24, 2018; final manuscript received January 11, 2019; published online April 8, 2019. Assoc. Editor: Philippe Wenger.
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Karimi Eskandary, P., Belzile, B., and Angeles, J. (April 8, 2019). "Trajectory-Planning and Normalized-Variable Control for Parallel Pick-and-Place Robots." ASME. J. Mechanisms Robotics. June 2019; 11(3): 031001. https://doi.org/10.1115/1.4042631
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