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Design Real-Time Embedded Optimal PD Fuzzy Controller by PSO Algorithm For Autonomous Vehicle Mounted Camera

机译:通过PSO算法设计实时嵌入式最佳PD模糊控制器,用于自主车辆安装相机

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The paper presents methods for designing embedded controller for autonomous robots following the lane. Robots use cameras to detect lanes and use frame replacing techniques to determine the path of the robot. The controller is designed using the PSO - PD fuzzy logic controller. PSO - PD fuzzy logic is the controller that combines the Fuzzy Controller with the optimal parameter based on a swarm intelligence algorithm. This controller shows the effectiveness for the effects of disturbance or when the information of desired trajectory is interrupted. The simulation of the robot's trajectory tracking showed the quality and capability of this design method. Experimental results show the method's effectiveness when building on real-time embedded systems.
机译:本文介绍了在车道后面为自治机器人设计嵌入式控制器的方法。 机器人使用相机检测通道并使用帧替换技术来确定机器人的路径。 控制器使用PSO - PD模糊逻辑控制器设计。 PS-PD模糊逻辑是基于群体智能算法将模糊控制器与最优参数相结合的控制器。 该控制器显示干扰效果或当所需轨迹的信息中断时的有效性。 机器人轨迹跟踪的仿真显示了这种设计方法的质量和能力。 实验结果表明,在实时嵌入式系统上建立时的效率。

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