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최적 파라미터 기반 MPC를 이용한 차량 안정화Vehicle Stabilization Using MPC Based on Optimized Parameter

Other Titles
Vehicle Stabilization Using MPC Based on Optimized Parameter
Authors
송유호김한수이태희허건수
Issue Date
May-2016
Publisher
한국자동차공학회
Keywords
Collision avoidance(충돌회피); Kriging surrogate model(크리깅 대체모델); Lane keeping(차선유지); Nonlinear tire model(비선형 타이어 모델); Model predictive control(MPC, 모델예측제어)
Citation
2016 한국자동차공학회 춘계학술대회, pp.277 - 279
Indexed
OTHER
Journal Title
2016 한국자동차공학회 춘계학술대회
Start Page
277
End Page
279
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/23058
ISSN
2713-7163
Abstract
Recent researches suggest the various application of the model predictive control on the vehicle systems. In numerous cases, they use plenty number of performance outputs and inputs that it takes a lot of tuning effort to determine the design factors of the MPC. This paper presents an economical method of tuning MPC design factors based on optimization and applying this method to designing MPC for collision avoidance which is the typical technology of the autonomous vehicle. This approach gives mathematically reasonable determination of the MPC parameters and saves a lot of time for tuning.
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서울 공과대학 > 서울 미래자동차공학과 > 1. Journal Articles

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