In redundant manipulation systems, the end-effector path does not completely determine the trajectories of all the individual degrees of freedom (dof) and the additional dofs can be used to enhance the performance in some sense. The paper deals with utilizing the redundancy to minimize energy consumption. A full linear electromechanical model is used, and the exact energy consumption is calculated. The optimization includes also displacement limits via penalty functions that are included in the cost function. The optimal trajectory is feasible in the sense that it can be obtained by a finite input voltage and all the velocities are continuous. The solution is based on projections that separate the system and the input into two parts. One that is completely determined by the end-effector path and the other that is free for optimization. The important and delicate issue of boundary conditions is resolved accordingly. Simulation results show that redundancy, even with limited joint motion, can lead to a considerable reduction in energy consumption.
Skip Nav Destination
Article navigation
September 2014
Research-Article
Minimum Energy Control of Redundant Linear Manipulators
Emanuele Carpanzano,
Emanuele Carpanzano
Istituto di Tecnologie Industriali
e Automazione (ITIA),
e-mail: emanuele.carpanzano@itia.cnr.it
e Automazione (ITIA),
Consiglio Nazionale delle Ricerche (CNR)
,Milano 20133
, Italy
e-mail: emanuele.carpanzano@itia.cnr.it
Search for other works by this author on:
Giuseppe Montalbano
Giuseppe Montalbano
Istituto di Tecnologie Industriali
e Automazione (ITIA),
e-mail: giuseppe.montalbano@itia.cnr.it
e Automazione (ITIA),
Consiglio Nazionale delle Ricerche (CNR)
,Milano 20133
, Italy
e-mail: giuseppe.montalbano@itia.cnr.it
Search for other works by this author on:
Yoram Halevi
Emanuele Carpanzano
Istituto di Tecnologie Industriali
e Automazione (ITIA),
e-mail: emanuele.carpanzano@itia.cnr.it
e Automazione (ITIA),
Consiglio Nazionale delle Ricerche (CNR)
,Milano 20133
, Italy
e-mail: emanuele.carpanzano@itia.cnr.it
Giuseppe Montalbano
Istituto di Tecnologie Industriali
e Automazione (ITIA),
e-mail: giuseppe.montalbano@itia.cnr.it
e Automazione (ITIA),
Consiglio Nazionale delle Ricerche (CNR)
,Milano 20133
, Italy
e-mail: giuseppe.montalbano@itia.cnr.it
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received September 12, 2012; final manuscript received April 9, 2014; published online July 9, 2014. Assoc. Editor: Nariman Sepehri.
J. Dyn. Sys., Meas., Control. Sep 2014, 136(5): 051016 (8 pages)
Published Online: July 9, 2014
Article history
Received:
September 12, 2012
Revision Received:
April 9, 2014
Accepted:
April 9, 2014
Citation
Halevi, Y., Carpanzano, E., and Montalbano, G. (July 9, 2014). "Minimum Energy Control of Redundant Linear Manipulators." ASME. J. Dyn. Sys., Meas., Control. September 2014; 136(5): 051016. https://doi.org/10.1115/1.4027419
Download citation file:
Get Email Alerts
Modeling and Control of a 3-DOF planar Cable-Driven Parallel Robot with Flexible Cables
J. Dyn. Sys., Meas., Control
Adaptive Mesh Refinement and Error Estimation Method for Optimal Control Using Direct Collocation
J. Dyn. Sys., Meas., Control
Motion Control Along Spatial Curves for Robot Manipulators: A Non-Inertial Frame Approach
J. Dyn. Sys., Meas., Control
A Case Study Comparing Both Stochastic and Worst-Case Robust Control Co-Design Under Different Control Structures
J. Dyn. Sys., Meas., Control
Related Articles
Design, Kinematics, and Deployment of a Continuum Underwater Vehicle-Manipulator System
J. Mechanisms Robotics (May,2025)
Utilization of Manipulator Redundancy for Torque Reduction During Force Interaction
Letters Dyn. Sys. Control (April,2024)
A Variable Stiffness End-of-Arm Tooling Mechanism to Enhance Dynamic Task Capabilities of Robotic Manipulators
J. Mechanisms Robotics (December,2023)
Reactionless Two-Degree-of-Freedom Planar Parallel Mechanism With Variable Payload
J. Mechanisms Robotics (November,2010)
Related Proceedings Papers
Related Chapters
QP-Based Self-Motion Planning
Robot Manipulator Redundancy Resolution
Pseudoinverse Method and Singularities Discussed
Robot Manipulator Redundancy Resolution
Feedback-Aided Minimum Joint Motion
Robot Manipulator Redundancy Resolution