基于粒子群算法多目标优化液压支架四连杆

发布时间：2018-03-17 21:25

本文选题：液压支架四连杆　切入点：粒子群算法　出处：《工程设计学报》2017年04期 　论文类型：期刊论文

【摘要】：针对煤矿液压支架四连杆受力计算较为复杂,简化计算时易出现较大误差且稳定性较差的问题,提出从四连杆机构的空间受力出发并结合支架的运动轨迹,采用粒子群优化算法对四连杆机构展开优化研究。首先建立了四连杆优化模型,在优化模型中选取对结果影响较大的参数作为优化变量,以轨迹偏差、连杆长、连杆力之和作为目标函数,根据液压支架设计规范确定约束条件。然后使用粒子群算法对目标函数进行迭代求解并在求解过程中采用惩罚函数法解决优化模型中不等式约束问题。对比优化前后连杆的杆长、受力和稳定性数据,发现优化后的四连杆实现了轻量化,且受力较小,稳定性提高。研究结果对四连杆的设计有实际参考价值。
[Abstract]:In view of the complicated calculation of the four-link force of the hydraulic support in coal mine and the problem of large error and poor stability when simplifying the calculation, this paper puts forward the point of view of the space force of the four-link mechanism and the movement track of the support. Particle swarm optimization (PSO) algorithm is used to optimize the four-bar linkage mechanism. Firstly, a four-bar optimization model is established. In the optimization model, the parameters that have a great influence on the results are selected as the optimization variables, and the trajectory deviation and the length of the linkage are taken as the optimization variables. The sum of connecting rod forces acts as an objective function, According to the design specification of hydraulic support, the constraint conditions are determined. Then the objective function is iterated by particle swarm optimization algorithm and the penalty function method is used to solve the inequality constraint problem in the optimization model. The bar length of the front and rear connecting rod, According to the data of force and stability, it is found that the optimized four-bar is lightweight, and the force is small and the stability is improved. The results of the study have practical reference value for the design of four-bar.
【作者单位】：南京工业大学机械与动力工程学院;东华大学机械工程学院;
【基金】：“十二五”国家科技支撑计划项目(2013BAF02B11)
【分类号】：TD355.4

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