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Structure Optimization and Path Planning of Tomato Picking Manipulator

机译:番茄采摘机械手的结构优化与路径规划

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In order to improve adaptability of manipulator to automatic harvesting under the unstructured environment, a new tomato planting pattern and a picking manipulator structure form were designed based on biological characteristics, cultivation modes and engraftment features of tomato. After simplified fruits growth space of tomato from cuboid to rectangle equivalently, structure optimization mathematical models of manipulator were established by taking the area of workspace as objective function and the periphery of workspace as constrains function. Based on the models and the optimization toolbox of MATLAB, structure parameters of tomato picking manipulator were optimized and its simulation of workspace by Monte-Carlo method was conducted. The results showed that 4 degree of freedom (DOF) manipulator was able to meet the requirements of tomato harvesting and rationality of optimization parameters was verified. According to the optimized parameters, 4 basic working postures of tomato picking manipulator were designed. Based on cycloid trajectory algorithm, a collision-free and efficient path was planned as fallow: picking preparation posture move to picking posture combining two cycloid trajectories, and picking posture move to fruit releasing posture using two separate movements which were firstly rotating shoulder, elbow and wrist joints and then rotating waist joint. Simulation of the path based on MATLAB was realized, results showed that the planned path was able to avoid collision between tomato picking manipulator and obstacles (e.g. stems, leaves or other fruits) efficiently.
机译:为了提高机械手在非结构化环境下自动收割的适应性,根据番茄的生物学特性,栽培方式和嫁接特性,设计了一种新的番茄种植方式和采摘机械手结构形式。在将番茄的果实生长空间从长方体等效为矩形简化后,以工作空间的面积为目标函数,以工作空间的周边为约束函数,建立了机械手的结构优化数学模型。基于MATLAB的模型和优化工具箱,对番茄采摘机械手的结构参数进行了优化,并通过蒙特卡洛方法对番茄采摘机械手进行了仿真。结果表明,四自由度机械手能够满足番茄收获的要求,并验证了优化参数的合理性。根据优化参数,设计了番茄采摘机械手的四种基本工作姿势。基于摆线轨迹算法,计划了一条无碰撞且有效的路径作为休憩路径:采摘准备姿势移至结合两个摆线轨迹的采摘姿势,采摘姿势通过两个独立的动作(首先旋转肩部,肘部和肘部)移动至水果释放姿势。腕关节然后旋转腰关节。实现了基于MATLAB的路径仿真,结果表明所计划的路径能够有效避免番茄采摘机械手与障碍物(例如茎,叶或其他水果)之间的碰撞。

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