This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Performance Analyses of Driver-Vehicle-Steer-By-Wire Systems Considering Driver Neuromuscular Dynamics
Technical Paper
2016-01-0456
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
One main objective is to find out how these parameters interact and optimal driver control gain and driver preview time are obtained. Some steps further, neuromuscular dynamics is considered and the system becomes different from the simplified driver-vehicle system studied before. New optimal driver control gain and driver preview time could be obtained for both tensed and relaxed muscle state. Final step aims at analysing the full system considering driver, neuromuscular, steer-by-wire and vehicle models. The steer-by-wire system could potentially have a significant influence on the vehicle when the driver is at impaired state, which could be represented by setting higher response delay time or smaller preview time. Vehicle's stability and active safety could also be improved by introducing the steer-by-wire system. Optimal driver control gains and driver preview times from all these three models would be compared and contrasted in order to examine the effects of neuromuscular dynamics and steer-by-wire system at different situations.
Recommended Content
Citation
Zhang, Z. and Cao, D., "Performance Analyses of Driver-Vehicle-Steer-By-Wire Systems Considering Driver Neuromuscular Dynamics," SAE Technical Paper 2016-01-0456, 2016, https://doi.org/10.4271/2016-01-0456.Also In
References
- Cao , D. , Song , X. , Ahmadian , M. 2011 Editors’ perspectives: road vehicle suspension design, dynamics, and control Vehicle System Dynamics 49 3 28
- Liang Li , Xu Ran , Kaihui Wu , Jian Song and Zongqi Han 2015 A novel fuzzy logic correction algorithm for traction control systems with uneven low-adhesion road conditions Vehicle System Dynamics 53 711 733
- Pazooki , A. , Rakheja , S. , Cao , D. 2012 Modelling and validation of off-road vehicle ride dynamics Mechanical Systems and Signal Processing 28 679 695
- Wang. F. , Chen , H. , Cao , D. Nonlinear coordinated motion control of road vehicles after a tire blow-out IEEE Transactions on Control Systems Technology
- Zhang H. , Zhang X. , and Wang J. 2014 Robust gain-scheduling energy-to-peak control of vehicle lateral dynamics stabilisation Vehicle System Dynamics 52 309 340
- Cao , D. , Rakheja , S. and Su , C.-Y. 2007 Roll plane analysis of a hydro-pneumatic suspension with twin-gas-chamber struts International Journal of Heavy Vehicle Systems 14 355 375
- Li Li , Fei-Yue Wang , Qunzhi Zhou 2006 Integrated longitudinal and lateral tire/road friction modeling and monitoring for vehicle motion control IEEE Transactions on Intelligent Transportation Systems 7 1 19
- Li , X. , Sun , Z. , Cao , D. , He , Z. , Zhu , Q. 2016 Real-time trajectory planning for autonomous urban driving: framework, algorithms and verifications IEEE/ASME Transactions on Mechatronics 21 740 753
- Li Li , Fei-Yue Wang 2006 Cooperative driving at blind crossings using intervehicle communication IEEE Transactions on Vehicular Technology 55 1712 1724
- Zheng , Y. , Li , S. , Wang , J. , Cao , D. , Li , K. 2016 Stability and scalability of homogeneous vehicular platoon: study on influence of information flow topologies IEEE Transactions on Intelligent Transportation Systems 17 14 26
- Li , X. , Sun , Z. , Cao , D. , Liu , D. , He , H. Development of a new integrated local trajectory planning and tracking control framework for autonomous ground vehicles Mechanical Systems and Signal Processing
- Li , S. , Gao , F. , Cao , D. , Li , K. Multiple model switching control of vehicle longitudinal dynamics for platoon level automation IEEE Transactions on Vehicular Technology
- MacAdam C. C. 2003 Understanding and modeling the human driver Vehicle System Dynamics 40 101 134
- Qu , T. , Chen , H. , Cao , D. , Guo , H. , Gao , B. 2015 Switching-based stochastic model predictive control approach for modelling driver steering skill IEEE Transactions on Intelligent Transportation Systems 16 365 375
- West , C. , Cao , D. 2013 Defining ‘critical speed’ in driver-vehicle systems 2013 IEEE Conference on Systems Man and Cybernetics, Manchester, UK
- Ishio , J. , Ichikawa , H. , Kano , Y. and Abe , M. 2008 Vehicle-handling quality evaluation through model-based driver steering behaviour Vehicle System Dynamics 46 S1 549 560
- Abe , M. 2009 Vehicle handling dynamics: theory and application Butterworth-Heinemann
- Pick A. J. and Cole D. J. 2006 Neuromuscular dynamics in the driver-vehicle system Vehicle System Dynamics 44 624 631
- Chai Y.W. , Abe Y. , Kano Y. , and Abe M. 2006 A study on adaptation of SBW parameters to individual driver’s steer characteristics for improved driver-vehicle system performance Vehicle System Dynamics 44 874 882