TY - GEN
T1 - Vehicle Lateral Motion Modeling Using Data-Driven Method
AU - Park, Chaehun
AU - Jeong, Cheolmin
AU - Mook Kang, Chang
AU - Kim, Wonhee
AU - Seop Son, Young
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Designing a control is the process of deriving the system's dynamic equation and finding a way to stabilize the derive system model. However, the derivation of the system model is complicated, and depending on the characteristics of the system, it may be difficult to design the controller. In this paper, we propose a data-driven model derivation method DMD (Dynamic Mode Decomposition) that simplifies the model derivation process and has similarities to the system. DMD can be used for complicated dynamic systems and has advantages in designing controllers because the derived model is linear. However, in order to take these advantages in the control design, it is first to show the similarity between the DMD-derived model and the system. Therefore, we used the vehicle dynamics simulation CarSim to derive various models and analyze how to derive validated models.
AB - Designing a control is the process of deriving the system's dynamic equation and finding a way to stabilize the derive system model. However, the derivation of the system model is complicated, and depending on the characteristics of the system, it may be difficult to design the controller. In this paper, we propose a data-driven model derivation method DMD (Dynamic Mode Decomposition) that simplifies the model derivation process and has similarities to the system. DMD can be used for complicated dynamic systems and has advantages in designing controllers because the derived model is linear. However, in order to take these advantages in the control design, it is first to show the similarity between the DMD-derived model and the system. Therefore, we used the vehicle dynamics simulation CarSim to derive various models and analyze how to derive validated models.
KW - Dynamic mode decomposition
KW - Fast Fourier Transform
KW - modeling
KW - vehicle lateral dynamics
UR - http://www.scopus.com/inward/record.url?scp=85152075440&partnerID=8YFLogxK
U2 - 10.1109/ICAIIC57133.2023.10067099
DO - 10.1109/ICAIIC57133.2023.10067099
M3 - Conference contribution
AN - SCOPUS:85152075440
T3 - 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023
SP - 767
EP - 770
BT - 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023
Y2 - 20 February 2023 through 23 February 2023
ER -