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4WS and DYC coordinated control for 4WS-4WID autonomous vehicles considering tire nonlinearity
Yuanlong Wang1, Jiaqing Zhou1, Guanying Chen1
1College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
This study introduces a coordinated control method for four wheel steering (4WS) and direct yaw moment control (DYC) in autonomous vehicles. The approach enhances path tracking and stability, especially under extreme driving conditions.
Area of Science:
- Automotive Engineering
- Control Systems Theory
- Robotics
Background:
- Autonomous vehicles require robust path tracking and stability control, particularly under demanding conditions.
- Four Wheel Steering (4WS) and Four Wheel Independent Drive (4WID) systems offer advanced maneuverability but pose complex control challenges.
- Existing control strategies may struggle with the nonlinear dynamics and extreme scenarios faced by 4WS-4WID vehicles.
Purpose of the Study:
- To develop and validate a coordinated control strategy for 4WS and DYC systems in 4WS-4WID autonomous vehicles.
- To improve both path tracking accuracy and vehicle stability under extreme operating conditions.
- To optimize control parameters for enhanced performance and reduced energy consumption.
Main Methods:
- A sliding mode observer (SMO) was used for lateral force estimation and cornering stiffness correction.
- An adaptive model predictive control (MPC) path tracking controller was designed.
- Sliding mode control (SMC) was applied to design 4WS and DYC stability controllers, accounting for nonlinear tire characteristics.
- An extension method was employed to coordinate 4WS and DYC weights for optimal rear wheel angle and yaw moment control.
Main Results:
- The proposed coordinated control strategy significantly improved path tracking accuracy.
- Vehicle stability, measured by sideslip angle and yaw rate, was substantially enhanced under extreme conditions.
- The method effectively balanced stability control with energy efficiency by optimizing control allocation.
Conclusions:
- The coordinated 4WS and DYC control method provides a robust solution for autonomous vehicle stability and path tracking.
- The integration of SMO, adaptive MPC, and SMC effectively addresses the nonlinear dynamics of 4WS-4WID vehicles.
- Co-simulation and experimental validation confirm the strategy's effectiveness in real-world driving scenarios.
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