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Modeling and Simulating Research of Integrated Fuzzy Control for Automobile Steering Stability

机译:汽车转向稳定性的集成模糊控制建模与仿真研究

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In this paper, four-wheel steering and direct yaw-moment integrated fuzzy controller is designed. To verify the effectiveness of the integrated fuzzy controller, a nonlinear three-degree-of-freedom model is employed for computer simulation. Considering the nonlinear effects of tyre, Pacejka tyre model was adopted to set up the nonlinear vehicle dynamic model. Simulation on the nonlinear vehicle with integrated controller in Matlab/Simulink software environment was described for a step input. The simulations suggest, compared with FWS and 4WS, the integrated controller can make the handling and stability performance on big lateral acceleration and slip angle improved, and make the driver drive the vehicle normally. The conclusion can be useful for the system design of vehicle stability control system.
机译:本文设计了一种四轮转向和直接横摆力矩集成模糊控制器。为了验证集成模糊控制器的有效性,将非线性三自由度模型用于计算机仿真。考虑到轮胎的非线性影响,采用Pacejka轮胎模型建立了非线性车辆动力学模型。描述了在Matlab / Simulink软件环境中集成控制器的非线性车辆的仿真,以进行步进输入。仿真结果表明,与FWS和4WS相比,集成控制器可以提高大横向加速度和滑移角时的操纵性能和稳定性,并使驾驶员正常驾驶车辆。该结论对车辆稳定性控制系统的系统设计很有帮助。

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