Abstract

This paper proposes a cascaded backstepping control method with an augmented observer for the lateral control of an autonomous vehicle. The proposed cascaded backstepping control structure consists of an inner-loop electric power steering (EPS) system and an outer-loop lane-keeping system (LKS). The outer-loop controller for LKS calculates and provides the desired steering angle to the inner-loop EPS system for maintaining the vehicle at the center of the lane. Subsequently, the inner-loop controller for the EPS system generates steering torque to track the desired steering angle from the outer loop. The proposed method can guarantee the stability of the vehicle considering both inner-loop and outer-loop dynamics. In addition, an augmented observer affords robustness against unknown model parameters and external disturbances. The stability of the closed loop of the overall system, including the lateral dynamics and the EPS system, is proven using the input-to-state stable property. Controller design with consideration of the overall system can improve the lateral control performance.

Highlights

  • Advanced driver assistant systems (ADASs) provide ride comfort and stability for drivers

  • We propose a cascaded backstepping control method with an augmented observer for the lateral control of an autonomous vehicle

  • In this paper, we proposed a cascaded backstepping control method with an augmented observer for the lateral control of an autonomous vehicle

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Summary

INTRODUCTION

Advanced driver assistant systems (ADASs) provide ride comfort and stability for drivers. A model predictive control approach for steering systems was proposed in [17] These previous methods improved the control performance, only the outer loop or the inner loop was considered. The proposed method is designed to improve the lateral control performance, while guaranteeing the stability of the overall system via a cascaded backstepping procedure. Augmented observers are implemented in the outer-loop and inner-loop controllers to improve the robustness against unknown model parameters and external disturbances. Theorem 1: The tracking error dynamics in equation (5) represent the serial interconnected system with the following input-to-stable (ISS) property such that. The tracking error dynamics (31) represent the serial interconnected system with the following ISS property from Theorem 1.

APPLICATION
CONCLUSION

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