Autonomous Vehicles Energy Based Operation Capacity Planning
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AGH, AGH University of Science and Technology Krakow, Poland
AGH, AGH University of Science and Technology, Poland
Submission date: 2020-10-27
Final revision date: 2020-11-20
Acceptance date: 2020-11-20
Online publication date: 2020-11-29
Publication date: 2020-12-18
Corresponding author
Janusz Szpytko   

AGH, AGH University of Science and Technology Krakow, Av A Mickiewicza 30, PL 30-059, Krakow, Poland
Journal of Machine Engineering 2020;20(4):126-138
The paper presents an optimization model for an autonomous vehicles energy based operation capacity planning with focused to complete predicted mission. The scenarios are proposed by a Particle Swarm Optimization algorithm, and the Automatic Guided Vehicle (AGV) operation is evaluated with the State of Charge (SoC) variable. The selected SoC variable allows us to describe the simulated operation in detail over time. The model output is the optimal trajectory for the AGV system considering the working environment and the satisfaction of the mission pre-established by the user. The inputs parameters of the optimization model are validated by a real environment created in a laboratory scale. The localization system, trajectories planning, workspace mapping and AGV control system concepts are briefly described, as well as the artificial intelligence used as methods and tools for AGV working control, to guide the discussion towards the contribution proposed.
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