A method for reducing the energy consumption of pick-and-place industrial robots

Abstract The interest in novel methods and tools for optimizing the energy consumption in robotic systems is currently increasing. From an industrial point of view, it is desirable to develop energy saving strategies also applicable to established manufacturing systems with no need for either hardware substitution or further investments. Within this scenario, the present paper reports a method for reducing the total energy consumption of pick-and-place manipulators for given TCP position profiles. Firstly, electromechanical models of both serial and parallel manipulators are derived. Then, the energy-optimal trajectories are calculated, by means of constant time scaling, starting from pre-scheduled trajectories compatible with the actuation limits. In this manner, the robot work cycle can be energetically optimized also when the TCP position profiles have been already defined on the basis of technological constraints and/or design choices aimed at guaranteeing manufacturing process efficacy/robustness. The effectiveness of the proposed procedure is finally evaluated on two simulation case studies.

[1]  Hannes Aalto.  Multi-axis Servo and System Drives Comparison , 2011 .

[2]  Renfrey B. Potts,et al.  A discrete trajectory planner for robotic arms with six degrees of freedom , 1989, IEEE Trans. Robotics Autom..

[3]  H. Diken,et al.  Energy efficient sinusoidal path planning of robot manipulators , 1994 .

[4]  Byung Kook Kim,et al.  Minimum-Energy Motion Planning for Differential-Driven Wheeled Mobile Robots , 2008 .

[5]  S. Gusmeroli,et al.  Strategic research agenda , 2010 .

[6]  Alin Albu-Schäffer,et al.  On a new generation of torque controlled light-weight robots , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[7]  John J. Craig,et al.  Introduction to Robotics Mechanics and Control , 1986 .

[8]  Oded Maimon,et al.  Energy analysis of robot task motions , 1991, J. Intell. Robotic Syst..

[9]  Yan Li,et al.  Are parallel manipulators more energy efficient? , 2001, Proceedings 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation (Cat. No.01EX515).

[10]  Leonids Ribickis,et al.  Energy efficient use of robotics in the automobile industry , 2011, 2011 15th International Conference on Advanced Robotics (ICAR).

[11]  Pablo González de Santos,et al.  Building an energetic model to evaluate and optimize power consumption in walking robots , 2004, Ind. Robot.

[12]  Bengt Lennartson,et al.  Modeling and Optimization of Energy Consumption in Cooperative Multi-Robot Systems , 2012, IEEE Transactions on Automation Science and Engineering.

[13]  Anastasios D. Pouliezos,et al.  Optimal Robot Speed Trajectory by Minimization of the Actuator Motor Electromechanical Losses , 2002, J. Intell. Robotic Syst..

[14]  J. Bobrow,et al.  Time-Optimal Control of Robotic Manipulators Along Specified Paths , 1985 .

[15]  Marcello Pellicciari,et al.  Increasing the energy efficiency of multi-robot production lines in the automotive industry , 2012, 2012 IEEE International Conference on Automation Science and Engineering (CASE).

[16]  Peter I. Corke,et al.  A robotics toolbox for MATLAB , 1996, IEEE Robotics Autom. Mag..

[17]  Jan Swevers,et al.  On-line time-optimal path tracking for robots , 2009, 2009 IEEE International Conference on Robotics and Automation.

[18]  Philippe Menanteau,et al.  Prices versus quantities: choosing policies for promoting the development of renewable energy , 2003 .

[19]  G. Oriolo,et al.  Robotics: Modelling, Planning and Control , 2008 .

[20]  Simone Cinquemani,et al.  Effects of transmission mechanical characteristics on the choice of a motor-reducer , 2010 .

[21]  M. Vukobratovic,et al.  A Method for Optimal Synthesis of Manipulation Robot Trajectories , 1982 .

[22]  Rahman Saidur,et al.  A review on electrical motors energy use and energy savings , 2010 .

[23]  Zdenek Kolibal,et al.  Experimental implementation of energy optimization by robot movement , 2010, 19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD 2010).

[24]  Shaheen Ahmad,et al.  Time scaling of cooperative multirobot trajectories , 1991, IEEE Trans. Syst. Man Cybern..

[25]  Jorge Angeles,et al.  Minimization of power losses in cooperating manipulators , 1992 .

[26]  F. Park,et al.  Symbolic formulation of closed chain dynamics in independent coordinates , 1999 .

[27]  Gabriel Abba,et al.  Robot Dynamic Modeling Using a Power Flow Approach with Application to Biped Locomotion , 1999, Auton. Robots.

[28]  Bengt Lennartson,et al.  High-Level Scheduling of Energy Optimal Trajectories , 2013, IEEE Transactions on Automation Science and Engineering.

[29]  Hai Zhou,et al.  Optimal Design of Gear Ratios and Offset for Energy Conservation of an Articulated Manipulator , 2009, IEEE Transactions on Automation Science and Engineering.

[30]  J. S. Park,et al.  Motion profile planning of repetitive point-to-point control for maximum energy conversion efficiency under acceleration conditions , 1996 .

[31]  Mikael Tenerz.  Parameter Estimation in a Permanent Magnet Synchronous Motor , 2011 .