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FRACTIONAL ORDER PID CONTROL FOR IMPROVED LATERAL POSITION AND YAW ANGLE STABILITY FOR A VEHICLE

机译:用于改进车辆的横向位置和横摆角稳定性的分数阶PID控制

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With the growing development of autonomous automobiles, vehicle lateral control has caught the attention of researchers recently. Active vehicle front steering can enhance the handling performance and stability of sudden/emergency maneuvers. This research investigates a fractional order proportional-integral-derivative (FOPID) control technique that ensures the regulation of vehicle lateral dynamics behavior with the presence of uncertain parameters. A method for analyzing vehicle dynamics with the "bicycle model" is presented. To validate the proposed control algorithm, the system is linearized and Matlab simulation is used. FOPID is compared to conventional control methods such as PID. Simulation results confirm that the proposed control scheme improves lateral displacement and yaw angle of the vehicle to maneuver safely and potentially prevent a collision from occurring.
机译:随着自治汽车的发展,汽车横向控制最近引起了研究人员的注意。主动车辆前转向可以增强突然/紧急行动的处理性能和稳定性。该研究研究了分数级比例 - 积分衍生物(FOPID)控制技术,其确保了在存在不确定参数的情况下对车辆横向动力学行为的调节。提出了一种用“自行车模型”分析车辆动力学的方法。为了验证所提出的控制算法,系统是线性化的,使用MATLAB仿真。将FoPid与常规控制方法(如PID)进行比较。仿真结果证实,所提出的控制方案可以安全地提高车辆的横向排量和偏航角,并安全地防止发生碰撞。

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