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Intelligent path tracking control for plant protection robot based on fuzzy PD

机译:基于模糊PD的植物保护机器人智能路径跟踪控制

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In order to realize the path following control of the robot in the complex agricultural environment, an intelligent path following control method based on fuzzy PD (proportional derivative) is proposed. Firstly, in order to realize the task of path tracking and automatic steering control, the automatic navigation controller and the automatic steering method based on fuzzy PD control are constructed. The method of driving the robot hardware platform based on plant protection unmanned, developed automatic navigation control system based on laser radar, angle sensor, then according to the structure and control principle of automatic navigation control system, the robot kinematics model, two wheel vehicle control model, pure path tracking control method, finally, has carried on the the design of the tracking control principle and fuzzy PD control method is verified by MATLAB/simulink simulation platform. The results show that the maximum tracking error is only 5cm, and the average tracking error is 1.2cm when the robot tracks with 1.5m/s. The simulation and experimental results show that the control system can effectively control the robot walking on a predetermined path.
机译:为了实现在复杂的农业环境中的机器人的路径跟踪控制,以下基于模糊PD(比例微分)控制方法的智能路径算法。首先,为了实现路径跟踪和自动转向控制的任务,自动导航控制器和基于模糊PD控制的自动转向的方法构造。基于植物保护无人驾驶机器人硬件平台的方法,开发了基于激光雷达,角度传感器的自动导航控制系统,然后根据自动导航控制系统的结构和控制原理,机器人运动学模型,两个轮式车辆控制模型,纯路径跟踪控制方法,最后,已经携带了跟踪控制原理和模糊PD控制方法的设计由Matlab / Simulink仿真平台验证。结果表明,最大跟踪误差仅为5厘米,当机器人轨道具有1.5m / s时,平均跟踪误差为1.2cm。模拟和实验结果表明,控制系统可以有效地控制在预定路径上行走的机器人。

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