中文摘要：

为了解决现有林果收集装置体积庞大，结构复杂，对果树行间距要求高等问题，该文以国内外现有林果收集设备为基础，以折展性能较好的空间折展机构为切入点，提出了一种小型侧翼折展式林果收集装置。对收集装置的主要结构一侧翼折展机构，进行了运动学分析，采用遗传算法对此机构的主要杆件进行尺寸优化，并建立侧翼折展机构的三维模型，导入ADAMS动力学分析软件中进行仿真和计算。根据理论分析与仿真结果，加工试验样机，进行野外采收试验和末端轨迹验证，比较虚拟仿真轨迹与由高速摄像捕捉到的样机实际运动轨迹，验证了侧翼折展机构设计方案的正确与可靠性，并得出此收集装置对于大枣树和银杏树的平均承接率分别为84．68％和66．71％，可为后续机构的改进提供参考依据。

英文摘要：

Most orchard gardens are distributed in the subtropical and tropic zone, and especially in mountainous and hilly region in China. With the development of science and technology and the increasing cost in labor, the mechanized operation for fruit collection is needed. Existing small fruit collecting devices have bulky and complex structure and need to be equipped with high-power drive, and strict requirement in the tree spacing. In order to adapt to the mechanization collection of small fruit and improve the mechanical collecting device, based on the existing fruit collection equipment at home and abroad, and considering deployable and foldable mechanisms of the equipment, a collecting device with flank deployable and foldable mechanism was introduced in this paper. This collection device mechanism can reduce the bulk in process of moving, adapt in line spacing of the fruit trees, have larger coverage area in unfolding state, and can adjust quickly and effectively in operation to improve collecting efficiency. The collecting device consisted of three parts： flank deployable and foldable mechanism （the core mechanism）, lifting mechanism, and mobile clamping mechanism. The displacement and coordinate point G at the end of the flank deployable and foldable mechanism were calculated by transformation matrix. Then kinematics of the flank deployable and foldable mechanism was analyzed, and the main components of the mechanism were optimized using genetic algorithm （GA） operated in MATLAB. Rod AB, AD, PE were taken as the main optimization variables by comparing the influence of variable rod length on the displacement of point G and ZEFG. Given the radius in folding and unfolding, the maximum displacement of point G during the unfolding process and the minimum dimension sum of the rods were taken as the optimization objectives. In order to obtain the more preferable rod dimension, the optimization range of the rods was expanded about ~50 mm. And the final optimization range and optimal solution of the main rods