A yaw plane model with limited roll-DOF of a five-axle tractor semitrailer is developed to study the open-loop directional dynamics of the vehicle. A driver model incorporating path preview, low and high frequency compensatory gains and time delays, and prediction of the vehicle state, is developed and integrated with the vehicle model. The coupled model is analyzed to investigate the vehicle design, which could be best adapted in view of the control limits of different driver, which are identified in terms of preview distance, reaction time and compensatory gain. A performance index based upon the vehicle path tracking, directional response characteristics and the driver’s steering effort is formulated and minimized using Gauss-Newton method to derive the desirable ranges of vehicle parameters, that could be adapted for drivers with varying skills. It is concluded that the adaptability and thus the directional performance of the vehicle can be enhanced through variations in the weights and dimensions, and compliant properties of the suspension, tire and the fifth wheel. The results of the study suggest that a driver with superior driving skill can easily adapt a vehicle with relatively large size, soft suspension and higher degree of oversteer. The results further show that the driver-adapted vehicle yields up to 33 percent reduction in the steering effort demand posed on the driver, while the roll angle and yaw rate response decrease by up to 40 percent.
Skip Nav Destination
e-mail: istih@vax2.concordia.ca
Article navigation
March 2001
Technical Papers
Adapting an Articulated Vehicle to its Drivers
Xiaobo Yang, Researcher,
Xiaobo Yang, Researcher
1455 de Maisonneuve Blvd., West, CONCAVE Research Centre, Concordia University, Montre´al, Que´bec, Canada H3G 1M8
Search for other works by this author on:
Subhash Rakheja, Professor,
Subhash Rakheja, Professor
1455 de Maisonneuve Blvd., West, CONCAVE Research Centre, Concordia University, Montre´al, Que´bec, Canada H3G 1M8
Search for other works by this author on:
Ion Stiharu, Associate Professor
e-mail: istih@vax2.concordia.ca
Ion Stiharu, Associate Professor
1455 de Maisonneuve Blvd., West, CONCAVE Research Centre, Concordia University, Montre´al, Que´bec, Canada H3G 1M8
Search for other works by this author on:
Xiaobo Yang, Researcher
1455 de Maisonneuve Blvd., West, CONCAVE Research Centre, Concordia University, Montre´al, Que´bec, Canada H3G 1M8
Subhash Rakheja, Professor
1455 de Maisonneuve Blvd., West, CONCAVE Research Centre, Concordia University, Montre´al, Que´bec, Canada H3G 1M8
Ion Stiharu, Associate Professor
1455 de Maisonneuve Blvd., West, CONCAVE Research Centre, Concordia University, Montre´al, Que´bec, Canada H3G 1M8
e-mail: istih@vax2.concordia.ca
Contributed by the Mechanisms Committee for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received Aug. 1999; revised Jul. 2000. Associate Editor: C. W. Wampler II.
J. Mech. Des. Mar 2001, 123(1): 132-140 (9 pages)
Published Online: July 1, 2000
Article history
Received:
August 1, 1999
Revised:
July 1, 2000
Citation
Yang, X., Rakheja, S., and Stiharu, I. (July 1, 2000). "Adapting an Articulated Vehicle to its Drivers ." ASME. J. Mech. Des. March 2001; 123(1): 132–140. https://doi.org/10.1115/1.1336797
Download citation file:
Get Email Alerts
Related Articles
A New Yaw Dynamic Model for Improved High Speed Control of a Farm Tractor
J. Dyn. Sys., Meas., Control (December,2002)
On the Beneficial Effects of Anti-Squat in Rear Suspension Design of a Drag Racing Motorcycle
J. Mech. Des (March,2002)
An Accurate Full Car Ride Model Using Model Reducing Techniques
J. Mech. Des (December,2002)
Analyzing the Relationship of Presence and Immersive Tendencies on the Conceptual Design Review Process
J. Comput. Inf. Sci. Eng (March,2002)
Related Proceedings Papers
Related Chapters
Practical Applications
Robust Control: Youla Parameterization Approach
The Effect of Vehicle-Road Interaction on Fuel Consumption
Vehicle-Road Interaction
Probabilistic Assessment of Vehicle Launch Abort Trajectories (PSAM-0196)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)