Active control of vehicle restraint systems has been extensively investigated in past decades. Many promising results have shown that a seat-belt system can be controlled in real-time to minimize human driver/occupant's injuries by reducing the human chest acceleration after a frontal impact. This paper presents a new nonlinear model that groups the seat-belt restraint system and the human driver's nonlinear high-coupling dynamics together to form a cascaded system. By using a backstepping design procedure, a global control law is developed and aimed to actively and continuously adjust the seat-belt strain force so as to interact both the human's shoulder/chest and waist. Both the control theory development and 3D graphical simulation study show that the overall system stability is well achieved. Even if up to a freeway speed, such as at 65 mph, the accelerations of the three major human body joints: lumber, thorax, and neck after a frontal collision can still be reduced significantly.
Skip Nav Destination
Article navigation
January 2013
Research-Article
Backstepping Control Design for Vehicle Active Restraint Systems
Manohar Das
Manohar Das
Department of Electrical and
Computer Engineering,
Computer Engineering,
Oakland University
,Rochester, MI 48309-4401
Search for other works by this author on:
Manohar Das
Department of Electrical and
Computer Engineering,
Computer Engineering,
Oakland University
,Rochester, MI 48309-4401
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received June 1, 2010; final manuscript received July 2, 2012; published online November 7, 2012. Assoc. Editor: Swaroop Darbha.
J. Dyn. Sys., Meas., Control. Jan 2013, 135(1): 011012 (9 pages)
Published Online: November 7, 2012
Article history
Received:
June 1, 2010
Revision Received:
July 2, 2012
Citation
Gu, E. Y., and Das, M. (November 7, 2012). "Backstepping Control Design for Vehicle Active Restraint Systems." ASME. J. Dyn. Sys., Meas., Control. January 2013; 135(1): 011012. https://doi.org/10.1115/1.4007549
Download citation file:
100
Views
Get Email Alerts
Cited By
Control of Autonomous Vehicles via Multi-Stage Linear Feedback Design
J. Dyn. Sys., Meas., Control
Co-Optimization of Design and Control of Energy Efficient Hybrid Electric Vehicles Using Coordination Schemes
J. Dyn. Sys., Meas., Control
Computationally Efficient Hierarchical Mpc via Koopman Operator
J. Dyn. Sys., Meas., Control
Balancing a Stick with Eyes Shut: Inverted Pendulum On a Cart Without Angle Measurement
J. Dyn. Sys., Meas., Control
Related Articles
Optimal Control of Restraint Forces in an Automobile Impact
J. Dyn. Sys., Meas., Control (July,2007)
A New Yaw Dynamic Model for Improved High Speed Control of a Farm Tractor
J. Dyn. Sys., Meas., Control (December,2002)
Smeared-Property Models for Shock-Impact Reliability of Area-Array Packages
J. Electron. Packag (December,2007)
Analysis and Design of a Passive Steering Mechanism for a Pedaled, Self-Balanced Unicycle
J. Mechanisms Robotics (February,2016)
Related Proceedings Papers
Related Chapters
Operations — The Players
Global Management Strategies: Sales, Design, Manufacturing & Operations (The Technical Manager's Survival Guides)
Practical Applications
Robust Control: Youla Parameterization Approach
Review of Basic Principles
Fundamentals of heat Engines: Reciprocating and Gas Turbine Internal Combustion Engines