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Enhancing Energy Efficiency of a 4-DOF Parallel Robot Through Task-Related Analysis

Lorenzo Scalera, Paolo Boscariol, Giovanni Carabin, Renato Vidoni, Alessandro Gasparetto

2020Machines41 citationsDOIOpen Access PDF

Abstract

Enhancing energy efficiency is one of the main challenges of today’s industrial robotics and manufacturing technology. In this paper a task-related analysis of the energetic performance of a 4-DOF industrial parallel robot is presented, and the optimal location of a predefined task with respect to the robot workspace is investigated. An optimal position of the task relative to the robot can indeed reduce the actuators’ effort and the energy consumption required to complete the considered operation. The dynamic and electro-mechanical models of the manipulators are developed and implemented to estimate the energy consumption of a parametrized motion with trapezoidal speed profile, i.e., a pick-and-place operation. Numerical results provide energy consumption maps that can be adopted to place the starting and ending points of the task in the more energy-efficient location within the robot workspace.

Topics & Concepts

WorkspaceRobotTask (project management)Energy consumptionEfficient energy useComputer scienceRoboticsEnergy (signal processing)ActuatorIndustrial robotPosition (finance)SimulationRobot kinematicsSMT placement equipmentControl engineeringArtificial intelligenceMobile robotEngineeringMathematicsElectrical engineeringFinanceEconomicsSystems engineeringStatisticsRobotic Mechanisms and DynamicsManufacturing Process and OptimizationIterative Learning Control Systems