Immune Neuro-Fuzzy Network Based System for Collision Free Motion Control of Unmanned Electrical Vehicles

2023 25th European Conference on Power Electronics and Applications (EPE 2023): Proceedings 2023
Anna Beinaroviča, Mihails Gorobecs, Leonīds Ribickis

This paper presents current results of the research, aimed at the developing of motion control algorithms and systems for autonomous electric vehicles , and discusses one of the goals of the research – collision probability minimization and traffic flow optimization. The task of the current research is to develop a computer model and a laboratory prototype, which would analyze the input data, calculate and minimize the collision probability by changing motion parameters and optimize traffic flow. Computer simulations prove the workability and advantages of the developed model.

Atslēgas vārdi
Neural network, Optimization algorithm, Electrical drive, Transport, Artificial intelligence, Motion control
DOI
10.23919/EPE23ECCEEurope58414.2023.10264259
Hipersaite
https://ieeexplore.ieee.org/document/10264259

Beinaroviča, A., Gorobecs, M., Ribickis, L. Immune Neuro-Fuzzy Network Based System for Collision Free Motion Control of Unmanned Electrical Vehicles. No: 2023 25th European Conference on Power Electronics and Applications (EPE 2023): Proceedings, Dānija, Aalborg, 4.-8. septembris, 2023. Piscataway: IEEE, 2023, 1.-10.lpp. ISBN 979-8-3503-1678-0. e-ISBN 978-9-0758-1541-2. Pieejams: doi:10.23919/EPE23ECCEEurope58414.2023.10264259

Publikācijas valoda
English (en)