Real-Time Dynamic Simulation of Vehicle and Occupant Using a Neural Network

시뮬레이터에서 동역학 실시간 처리를 위한 신경망 적용

  • 손권 (부산대학교 기계공학부) ;
  • 최경현 (제주대학교 기계생산에너지공학부) ;
  • 송남용 (부산대학교 대학원) ;
  • 이동재 (부산대학교 대학원)
  • Published : 2002.03.01

Abstract

A momentum backpropagation neural network is prepared to carry out real-time dynamics simulations of a passenger car. A full-car model of fifteen degrees of freedom was constructed for vehicle dynamics analysis. Human body dynamics analysis was performed for a male driver(50 percentile Korean adult) restrained by a three point seatbelt system. The trained data using the neural network were obtained using a dynamic solver, ADAMS . The neural network were formed based on the dynamics of the simulator. The optimized hidden layer was obtained by selecting the optimal number of hidden layers. The driving scenario including bump passing and lane changing has been used for the estimation of the proposed neural network. A comparison between the trained data and neural network outputs is found to be satisfactory to show the applicability of the suggested approach.

Keywords

References

  1. H. K. Dister, 'Velocity Constancy in Virtual Reality Environments,' Association for Research in Vision and Ophthalmology '97, 1997
  2. M. V. Blundull, 'The Influence of Rubber Bush Compliance on Vehicle Suspension Movement,' Material and Design, Vol.19, pp.29-37, 1998 https://doi.org/10.1016/S0261-3069(97)00101-5
  3. 이병훈, '속도변환법을 이용한 탄성 다물체계의 동역학적 해석,' 한국과학기술원 박사학위논문, 1992
  4. 정보선, '실시간 시뮬레이션을 위한 효율적인 차량 모델링,' 부산대학교 석사학위 논문, 1999
  5. R. H. Nieson, 'Komogorov's Mapping Neural Network Existence Theorem,' IJCNN'87, Vol. 3,pp.11-13,1987
  6. B. Irie, S. Miyake, 'Capabilities of Three-Lay-ered Perceptrons,' IJCNN'88, Vol.1, pp.641-648, 1988
  7. 이승창, 박승권, 이병해, '신경망을 이용한 근사 해석 모델의 원형 개발,' 전산구조공학회논문집, 제10권 제2호, pp.273-281, 1997
  8. 박승권, 이병해, '신경망과 수치 해석 알고리즘의 비교 연구,' 전산구조공학회논문집, 제10권 제2호, pp.265-272, 1997
  9. 장태성, 'DADS를 이용한 차량 정면 충돌시승객거동 시뮬레이션 및 좌석벨트 설계,' 한국과학기술원 석사학위논문, 1995
  10. 한국자동차공학회, 자동차기술핸드북.시험, 평가편,pp.215-224, 1996
  11. S. Y. Kung, J. N. Hwang, 'An Algeberaic Projection Analysis for Optimal Hidden Unit Size and Learning Rates in Backpropagation Learning,' ICNN '88, Vol.I, pp.363-370, 1988
  12. J. K. Krusche, 'Improving Generalization in Backpropagation Networks with Distributed Bottlenecks,' IJCNN'89, Vol.III, pp.443-447, 1989
  13. B. A. Paya, 'Artificial Neural Network Based Fault Diagnostics of Rotating Machinery Using Wavelet Transforms as a Preprocessor,' Mechanical Systems and Signal Processing, pp.751-765. 1997
  14. Laurene Fausett, Fundamentals of Neural Networks, Prentice Hall, pp.320-330, 1994
  15. 하만경, 곽재섭, 송지복, 김건회, 김희슬, '신경회로망을 이용한 연삭가공의 트러블 인식에 관한 연구(1),' 한국정밀공학회지, 제13권 제9호, pp.149-155, 1996