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Journal of Mechanical Science and Technology

, Volume 33, Issue 6, pp 2941–2948 | Cite as

Optimization of control allocation with ESC, AFS, ARS and TVD in integrated chassis control

  • Jaewon Nah
  • Seongjin YimEmail author
Article
  • 18 Downloads

Abstract

This paper presents an optimization of control allocation in integrated chassis control with active front steering, active rear steering, electronic stability control and torque-vectoring device under the saturation of lateral tire forces on front wheels. After a control yaw moment is calculated in the upper-level controller, a weighted pseudo-inverse based control allocation is used for yaw moment generation in the lower-level controller. Variable coefficients of the weighted pseudo-inverse based control allocation are used to represent various actuator combinations and are optimized for each actuator combination to enhance control performances using simulation on vehicle simulation package, CarSim. Due to severe cornering on low friction road, the front lateral tire forces can be easily saturated. Under the condition, the active front steering has little effect on control performance and, consequently, the desired control yaw moment cannot be generated. So, the lateral force generated by AFS should be restricted to its maximum, and a constrained weighted pseudoinverse based control allocation with electronic stability control, active rear steering and torque-vectoring device is applied to compensate the loss of the control yaw moment. Variable coefficients of the constrained weighted pseudo-inverse based control allocation with electronic stability control, active rear steering and torque-vectoring device are also optimized using simulated-based tuning. To validate the proposed method, simulation was done on CarSim. From simulation, it was verified which actuator combination is effective for integrated chassis control if the lateral forces on front wheels are saturated.

Keywords

Integrated chassis control Weighted pseudo-inverse based control allocation Lateral tire force saturation Simulation-based optimization 

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Notes

Acknowledgments

This study was supported by the Research Program funded by the Seoul National University of Science and Technology.

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Copyright information

© KSME & Springer 2019

Authors and Affiliations

  1. 1.Department of Automotive EngineeringHonam UniversityGwangjuKorea
  2. 2.Department of Mechanical and Automotive EngineeringSeoul National University of Science and TechnologySeoulKorea

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