首页|GA-PSO混合算法的工作臂铰点优化设计

GA-PSO混合算法的工作臂铰点优化设计

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现有施工装置中离不开挖掘机工作臂,但在工作过程中因承载和振动,造成铰接点销轴破裂.为了提高工作的可靠性,通过SolidWorks软件建立模型,分析由铲斗、斗杆、动臂及其油缸构成平面连杆机构工作原理;建立动臂动力学模型,借助齐次矩阵方法分析各部件的铰点位置参数,得到各铰点受到外力和力矩;以动臂各铰点受力为优化目标,以各铰点坐标参数作为设计变量,以动臂油缸所做功为约束条件,实现目标函数模型建立.借助GA-PSO混合算法,进行选择、变异和交叉操作,提高工作臂的优化设计参数精确度;结合ADAMS软件,得到优化后和优化前铰点受力曲线,实现了优化后铰点受力小于优化前.同时,为相关农业机械的研究提供理论研究基础.
Optimal Design of Working Arm's Joint Point Based on GA-PSO Hybrid Algorithm
The excavator working arm cannot be separated from the existing construction device,but the hinge pin shaft is broken due to bearing and vibration during the working process.In order to improve the reliability of the work,the working principle is analyzed by establishing a three-dimensional model of the working arm through SolidWorks software.A planar linkage mecha-nism is composed of a bucket,a bucket rod,a movable arm and an oil cylinder to realize the whole working process.By establish-ing a dynamic model of the boom,using the method of the homogeneous matrix,the position parameters of the hinge points of each component are analyzed,and the external forces and moments are obtained for each hinge point.The rotation diagram of the arm is established with the force acting on each hinge point of the arm as the optimization objective.Taking the coordinate param-eters of each hinge point as the design variable,the stress on the hinge point after rotation is analyzed.Taking the work done by the moving arm cylinder as the constraint condition,the objective function model is established by the working stroke of the cylin-der.By GA-PSO hybrid algorithm for selection,mutation and crossover operation and improve the working accuracy Optimiza-tion Design of parameters of the arm.The whole work simulation analysis of the working arm is carried out by using ADAMS soft-ware,and obtain the working armoptimized curve before and after optimization of hinge point.Through the optimization of GA-PSO hybrid algorithm,the force of hinge point is optimized before optimization.At the same time,provides the theoretical research foundation for the related construction machinery research.

GA-PSO Hybrid AlgorithmWorking ArmJoint PointOptimization

张小珍

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厦门大学嘉庚学院,福建 漳州 363105

GA-PSO混合算法 工作臂 铰点 优化

新型微纳结构压力传感器的构建及性能研究南方丘陵地区混合动力采伐机底盘优化机理与研发

JT1808012017L08

2024

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子:0.511
ISSN:1001-3997
年,卷(期):2024.395(1)
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