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Dynamic Mode Decomposition으로 유도된 차량 동역학 특성 분석
박채훈(Chaehun Park),정철민(Cheolmin Jeong),손영섭(Young Seop Son),안상각(An Sang Gak),강창묵(Chang Mook Kang) 한국자동차공학회 2022 한국자동차공학회 부문종합 학술대회 Vol.2022 No.6
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 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 model derivation process and has similarity to the system. DMD can be used for complicated dynamic system 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 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 validate models.