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弓网多目标滑动电接触下最优压力载荷

, PP. 154-160

Keywords: 电流效率,载流相对稳定系数,磨损率,模型预测,自适应权重粒子群算法,Pareto解,优化

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Abstract:

通过自制实验机模拟弓网系统运行状态,进行浸金属碳滑板与铜导线的对磨实验,研究在给定电流及速度的情况下接触压力载荷与电流效率、载流相对稳定系数和磨损率之间的数值关系。采用免疫遗传优化Elman动态反馈神经网络(IGA-ENN)算法进行输入输出模型预测,并基于自适应权值粒子群优化(AW-PSO)算法对压力载荷进行寻优,得到其Pareto最优前沿解。最后,将多目标优化问题转换为单目标优化问题,确定相应的最优压力载荷。

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