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Optimal Robot Speed Trajectory by Minimization of the Actuator Motor Electromechanical Losses

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Abstract

This paper considers the control problem of a robotic manipulator with separately excited dc motor drives as actuators. An innovative method is proposed which achieves robot speed-control requirements, with simultaneous minimization of total electromechanical losses, while the drives follow the desired speed profiles of the robot joints under various loads and random load disturbances. If there is no demand for a specific speed profile, the optimal speed trajectory is determined by minimizing an electromechanical losses criterion. Controllable energy losses, such as armature copper losses, armature iron losses, field copper losses, stray load losses, brush load losses, friction and windage losses, can be expressed proportionally to the squares of the armature and the field (exciting) currents, the angular velocity and the magnetic field flux. The controllable energy loss term is also included in the optimal control integral quadratic performance index, defined for the whole operation period. Thus the appropriate control signals required for following the desired trajectory by simultaneous energy loss minimization for the whole operation interval are achieved. Two case studies of optimal robot control with and without minimization of actuator energy losses are presented and compared, showing the energy savings that can be achieved by the proposed methodology.

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Authors and Affiliations

  1. Electronic & Computer Engineering Dept., Technical University of Crete, 73100, Hania, Greece

    Eleftheria S. Sergaki & George S. Stavrakakis

  2. Production and Management Engineering Dept., Technical University of Crete, 73100, Hania, Greece

    Anastasios D. Pouliezos

Authors
  1. Eleftheria S. Sergaki
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  2. George S. Stavrakakis
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  3. Anastasios D. Pouliezos
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Correspondence to Anastasios D. Pouliezos.

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Sergaki, E.S., Stavrakakis, G.S. & Pouliezos, A.D. Optimal Robot Speed Trajectory by Minimization of the Actuator Motor Electromechanical Losses. Journal of Intelligent and Robotic Systems 33, 187–207 (2002). https://doi.org/10.1023/A:1014643401778

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