AGV车型分层结构桁架设计与多参数联合优化方法研究

Truss design of layered structure for AGV and research on joint optimization method with multi-parameters

为了实现AGV车架结构的强度优化和轻量化目标,以一款自主设计的AGV为研究对象,设计了一类分层桁架式的新型车架结构,并实现了基于响应面模型与优化算法组合的参数优化。在静力学分析的基础上,基于拉丁超立方试验设计构建了响应面模型,以车架方形钢截面尺寸参数为设计变量、以车架最大等效应力为约束条件、以车架总质量为目标函数,采用遗传算法对车架结构进行尺寸优化,获得了设计空间内的近似最优解。结果表明:优化后的车架最大等效应力为154.87 MPa,最大变形为0.83 mm,满足强度和刚度要求;车架总体质量与原车架总体质量相比减少32.1%,验证了方法的可行性。该方法为车架结构的设计与制造提供了理论依据和借鉴。

In order to achieve the goal of strength optimization and lightweight of AGV(Automated Guided Vehicle)frame structure,a new type of frame structure with layered truss is designed,and the parameter optimization based on the combination of response surface model and optimization algorithm is established.The response surface model is constructed based on the Latin hypercube design on the basis of the static analysis.Taking the square steel section size parameter of the frame as the design variables,taking the maximum equivalent stress of the frame as the constraint condition,taking the total mass of the frame as the objective function,the genetic algorithm is used to optimize the size of the frame structure,and the approximate optimal solution in the design space is obtained.The results show that the maximum equivalent stress of the optimized frame is 154.87 MPa,and the maximum deformation is 0.83 mm,both of which meet the requirements of strength and rigidity.The overall mass of the frame is 32.1% less than that of the original frame.The feasibility of the method is verified,which provides theoretical basis and reference for the design and manufacture of frame structure.