2014
DOI: 10.9746/jcmsi.7.29
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Simple Motion Trajectory Generation for Energy Saving of Industrial Machines

Abstract: This paper presents an energy saving method for industrial machines using simple motion trajectories such as trapezoidal and S-curve velocity profiles. These velocity profiles consist of acceleration, constant velocity and deceleration time periods. This study deals with a feed drive system in which typical dynamics includes the inertia, viscous friction, Coulomb friction and back-EMF terms. The consumed energy depends only on an acceleration time period by giving total motion distance and total motion time, a… Show more

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Cited by 16 publications
(7 citation statements)
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“…d) Search for the trajectory with minimum time using a suitable algorithm. Minimumenergy trajectory planning [Huang et al, 2011] (159) ; [Gregory et al, 2012] (160) ; [Korayem et al, 2012] (161) ; [Wigstrom et al, 2013] (162) ; [Du et al, 2015] (163) ; (164) ; [Carabin et al, 2019] (165) ; [Wu et al, 2020] (166) The steps are as follows ( (163) , (167) ). a) Identify the work process of the robot.…”
Section: Conclusion From Literature Survey On Trajectory Controlmentioning
confidence: 99%
“…d) Search for the trajectory with minimum time using a suitable algorithm. Minimumenergy trajectory planning [Huang et al, 2011] (159) ; [Gregory et al, 2012] (160) ; [Korayem et al, 2012] (161) ; [Wigstrom et al, 2013] (162) ; [Du et al, 2015] (163) ; (164) ; [Carabin et al, 2019] (165) ; [Wu et al, 2020] (166) The steps are as follows ( (163) , (167) ). a) Identify the work process of the robot.…”
Section: Conclusion From Literature Survey On Trajectory Controlmentioning
confidence: 99%
“…In this work, they succeed to save 10% more energy for a differential drive robot by optimizing velocity profile. Ho [6], added the case study of simple motion trajectories, such as S-curve and trapezoidal. Wahab [7] investigated the various energy loss components and presented a well-defined and complete energy model.…”
Section: Introductionmentioning
confidence: 99%
“…Paes et al [14] saved energy by "intelligently" programming robot trajectories, and they generated energy and time-optimal paths in consideration of all physical constraints within consideration. Ho et al [15] proposed a method to determine these parameters to reduce energy consumption, and also proposed a method for identifying the dynamic parameters of industrial machinery for pre-consuming energy consumption. Carabin et al [16], aiming at the point-to-point trajectory, based on the design of the dynamic and electromechanical modeling degrees of freedom system and the derivation of the standard energy formula, proposed a method of minimum energy trajectory planning.…”
Section: Introductionmentioning
confidence: 99%