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Tao Sun [1] and Hao Guo [1] and Jian-yong Cao [2] and Ling-jiang Chai [1] and Yue-dong Sun [1]

Academic Editor: Tsung-Chih Lin

, 1, , University of Shanghai for Science and Technology, , School of Mechanical Engineering, , Institute of Automotive Engineering, , Shanghai 200093, , China, , usst.edu.cn,

, 2, , National Center of Supervision and Inspection on Motor Vehicle Products Quality, , Shanghai 201805, , China,

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. Introduction

To improve the handling and stability of the vehicle, many active safety systems are applied to the vehicle, such as active front steering (AFS), antilock braking system (ABS), traction control system (TCS), and electronic stability program (ESP) [1]. However, these systems are designed independently of each other for improving specific vehicle performance, so their functions are limited due to the nonlinearity of tyre forces and the essential dynamic coupling between these systems [2]. Therefore, in order to optimize vehicle performance, the integration of these active control systems has currently become a research focus on vehicle dynamics and control fields [3–6]. Furthermore, estimation of vehicle states and parameters is vital for the integration of chassis function related to vehicle stability control, in which vehicle lateral and yaw dynamics control is dependent on the accurate lateral velocity or the sideslip angle estimation to cope with high cost, signal degradation in sensor configuration of production vehicles [7, 8]. Therefore, the estimation of vehicle lateral velocity based on standard vehicle input/output signals is presented in this paper, in which a fuzzy logic algorithm is designed with two inputs and two outputs based on the integration of AFS and direct yaw moment control (DYC) to enhance the vehicle stability.

This paper is organized as follows. Section 2 addresses the vehicle dynamics model and a nonlinear tyre model. Section 3 designs the lateral velocity observer in detail, including selecting sensor signals, estimation model, and algorithm. Section 4 presents the proposed control system. The computer simulation results are presented and the proposed control system is compared with the individual control cases in Section 5. Finally, Section 6 gives the conclusions of...

 

  

 

   

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