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Assessment of the Effect of Energy Consumption on Trajectory Improvement for a Car-like Robot

Published online by Cambridge University Press:  10 April 2019

Francisco Valero ,
Francisco Rubio Open the ORCID record for Francisco Rubio [Opens in a new window]  and
Carlos Llopis-Albert Open the ORCID record for Carlos Llopis-Albert [Opens in a new window]
Francisco Valero
Affiliation:
Centro de Investigación en Ingeniería Mecánica (CIIM), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain E-mails: fvalero@mcm.upv.es, cllopisa@upvnet.upv.es
Francisco Rubio*
Affiliation:
Centro de Investigación en Ingeniería Mecánica (CIIM), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain E-mails: fvalero@mcm.upv.es, cllopisa@upvnet.upv.es
Carlos Llopis-Albert
Affiliation:
Centro de Investigación en Ingeniería Mecánica (CIIM), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain E-mails: fvalero@mcm.upv.es, cllopisa@upvnet.upv.es
*
*Corresponding author. E-mail: frubio@mcm.upv.es
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Summary

Reducing the energy consumed by a car-like mobile robot makes it possible to move at a lower cost, yet it takes more working time. This paper proposes an optimization algorithm for trajectories with optimal times and analyzes the consequences of restricting the energy consumed on the trajectory obtained for a car-like robot. When modeling the dynamic behavior of the vehicle, it is necessary to consider its inertial parameters, the behavior of the motor, and the basic properties of the tire in its interaction with the ground. To obtain collision-free, minimum-time trajectories quadratic sequential optimization techniques are used, where the objective function is the time taken by the robot to move between two given configurations. This is subject to constraints relating to the vehicle and tires as well as the energy consumed, which is the basis for this paper. We work with a real random distribution of consumed energy values following a normal Gaussian distribution in order to analyze its influence on the trajectories obtained by the vehicle. The energy consumed, the time taken, the maximum velocity reached, and the distance traveled are analyzed in order to characterize the properties of the trajectories obtained. The proposed algorithm has been applied to 101 examples, showing that the computational times needed to obtain the solutions are always lower than those required to realize the trajectories. The results obtained allow us to reach conclusions about the energy efficiency of the trajectories.

Keywords

Energy consumedCar-like mobile robotRobot dynamicsTire interactionMinimum-time trajectoryCollision-free trajectoryWorking parameters

Information

Type
Articles
Information
Robotica , Volume 37 , Issue 11 , November 2019 , pp. 1998 - 2009
Copyright
© Cambridge University Press 2019 

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