Integrated differential braking and electric power steering control for advanced lane-change assist systems

Abstract

This paper describes the design and verification of a control algorithm for advanced lane-change assist systems with integrated control of the differential braking and the electric power steering system. The objective of the proposed control algorithm of the advanced lane-change assist system is to minimize the unexpected control input of electric power steering and to make maximum use of the differential brake effort. The advanced lane-change assist system can warn of potential rear and side crashes and prevent collisions in lane-change manoeuvres with active intervention when there is an upcoming vehicle with a potential risk to the rear in the next lane. An enhanced lane-change assist warning algorithm is developed with additional information on the estimated past trajectory of the subject vehicle. The upper controller of the advanced lane-change assist system determines the control on–off decision, the desired yaw rate for collision avoidance and the strategic control input distribution. The key strategy of this integrated control algorithm is to use the maximum tyre–road friction of the differential brake force and to operate with a smaller control effort of the electric power steering only when lacking in the level of yaw rate moment obtained by the electronic stability control, which is intended to minimize annoyance to a driver and control intervention. The lower controller decides the control input of the advanced electronic stability control and the electric power steering system. Finally the advanced lane-change assist system is implemented in a real vehicle and tested in both the steering-control-only case and the integrated-control case. It is shown that the proposed strategy can intervene appropriately and verifies the effectiveness of collision avoidance in a dangerous lane-change situation; a decrease in the electric power steering control input of about 20% can be achieved by the proposed algorithm.

Keywords

Advanced lane-change assist integrated control differential brake control lane-change assist driver assistance system

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References

Kang

Yoo

. Driving control algorithm for maneuverability, lateral stability and rollover prevention of 4WD electric vehicles with independently driven front and rear wheels. IEEE Trans Veh Technol2011; 60(7): 2987–3001.

LeBlanc

Venhovens

Lin

. Warning and intervention system to prevent road-departure accidents. Veh System Dynamics1996; 25(1): 383–396.

Netto

Chaib

Mammar

. Lateral adaptive control for vehicle lane keeping. In: American control conference, Boston, Massachusetts, USA, 30 June–2 July 2004, Vol 3, pp. 2693–2698. New York: IEEE.

Raksincharoensak

Nagai

Shino

. Lane keeping control strategy with direct yaw moment control input by considering dynamics of electric vehicle. Veh System Dynamics2006; 44: 192–201.

Raksincharoensak

Mizushima

Nagai

. Direct yaw moment control system based on driver behavior recognition. Veh System Dynamics2008; 46: 911–921.

Minoiu

Netto

Mammar

Lusetti

. Driver steering assistance for lane departure avoidance. Control Engng Practice2009; 17: 642–651.

Hayakawa

Sato

. Development of blind spot assistance system based on lane-marker detection and blind spot vehicle detection. In: 1st international symposium on future active safety technology toward zero-traffic-accident, Tokyo, Japan, 5–9 September 2011. Tokyo: JSAE. 20117309.

Hwang

Huh

Jung

Kang

Yoon

. Development of a model based predictive controller for lane keeping assistance. SAE paper 2008-01-1454, 2008.

Traffic safety facts 2005. Report, National Highway Traffic Safety Administration, US Department of Transportation, Washington, DC, USA, 2006. DOT HS 810 631.

10.

Lee

. Development of a coordinated strategy of steering torque overlay and differential braking for unintended lane departure avoidance. SAE paper 2012-01-0281, 2012.

11.

Chung

Kim

. An investigation into differential braking strategies for vehicle stability control. Proc IMechE Part D: J Automobile Engineering2003; 217: 1081–1093.

12.

Pilutti

Ulsoy

Hrovat

. Vehicle steering intervention through differential braking. In: American control conference, Seattle, Washington, USA, 21–23 June 1995, Vol 3, pp. 1667–1671. New York: IEEE.

13.

Szabo

Wilson

. Application of a crash prevention boundary metric to a road departure warning system. In: Performance metrics for intelligent systems (PerMIS) workshop, Gaithersburg, Maryland, USA, 24–26 August 2004. Gaithersburg, Maryland: National Institute of Standards and Technology.

14.

Minoiu

Mammar

Glaser

Lusetti

. Driver assistance system for lane departure avoidance by steering and differential braking. In: 6th IFAC symposium on advances in automotive control, Munich, Germany, 12–14 July 2010, pp. 471–476. Laxenburg: IFAC.

15.

Hoare

Hall

Hill

Tsang

. Millimetre-wave automotive radar advance path measurement. SAE paper 2002-01-0820, 2002.

16.

Sotelo

MÁ

Barriga

. Blind spot detection using vision for automotive applications. J Zhejiang Univ Sci A2008; 9(10): 1369–1372.

17.

Wan

Raksincharoensak

Maeda

Nagai

. Lane change behavior modeling for autonomous vehicles based on surrounding recognition. Int J Automot Engng2011; 2: 7–12.

18.

Salvucci

Mandalia

Kuge

Yamamura

. Lane-change detection using a computational driver model. Hum Factors2006: 49(3): 532–542 .

19.

Bin

Uno

Iida

. A study of lane-changing behavior model at weaving section considering conflicts. J Eastern Asia Soc Transpn Stud2003; 5: 2039–2052.

20.

Rajamani

. Vehicle dynamics and control. New York: Springer, 2005.

21.

Bernard

. Control system design. New York: McGraw-Hill, 1987.

22.

Peter

Chaouki

. Linear quadratic control. Englewood Cliffs, New Jersey: Prentice-Hall, 1995.

23.

Khalil

. Nonlinear systems. Englewood Cliffs, New Jersey: Prentice-Hall, 1996.