Design of an integrated AFS/DYC based on fuzzy logic control

R. Karbalaei, A. Ghaffari, R. Kazemi, S. Tabatabaei
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引用次数: 17

Abstract

An integrated vehicle dynamics control system is developed in this paper by a combination of active front steering (AFS) and direct yaw-moment control (DYC) based on fuzzy logic control. The control system has a hierarchical structure consisting of two layers. A fuzzy logic controller is used in the upper layer (yaw rate controller) to keep the yaw rate in its desired value. The yaw rate error and its rate of change are applied to the upper controlling layer as inputs, where the direct yaw moment control signal and the steering angle correction of the front wheels are the outputs. In the lower layer (fuzzy integrator), a fuzzy logic controller is designed based on the working region of the lateral tire forces. Depending on the directions of the lateral forces at the front wheels, a switching function is activated to adjust the scaling factor of the fuzzy logic controller. Using a nonlinear seven degrees of freedom vehicle model, the simulation results illustrate considerable improvements which are achieved in vehicle handling through the integrated AFS/DYC control system in comparison with the individual AFS or DYC controllers.
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基于模糊逻辑控制的AFS/DYC集成设计
本文提出了一种基于模糊逻辑控制的主动前转向与直接偏航力矩控制相结合的整车动力学控制系统。控制系统具有两层的分层结构。在上层使用模糊逻辑控制器(横摆角速度控制器)来保持横摆角速度在其期望值。将横摆角速度误差及其变化率作为输入输入到上层控制层,其中直接横摆角速度控制信号和前轮转向角修正量作为输出。在下层(模糊积分器)中,根据轮胎侧向受力的工作区域设计了模糊控制器。根据前轮侧向力的方向,启动切换功能,调整模糊逻辑控制器的比例因子。采用非线性七自由度车辆模型,仿真结果表明,与单独的AFS或DYC控制器相比,综合AFS/DYC控制系统在车辆操纵方面取得了相当大的改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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