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单级直齿齿轮传动多目标模糊优化控制

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单级直齿齿轮与一般齿轮不同,其齿轮的啮合面积较小,在啮合过程中容易产生冲击和摩擦,其控制过程为多目标优化问题,单纯以准确性为约束条件的传统方法,降低了齿轮传动效率,提出单级直齿齿轮传动控制多目标模糊优化控制方法.在分析单级直齿齿轮传动问题的基础上,以齿轮强度、优化传动效率、优化动态性能为多目标,设置各个目标函数的取值范围,构建齿轮传动控制的多目标模糊优化函数.通过遗传算法中的交叉算法和模拟退火算法根据设定的多目标函数进行迭代求解,得到齿轮传动控制的最优参数,由此实现单级直齿齿轮传动控制优化.经实验验证:经过所提方法的优化后,齿轮内传动过程中的啮合错位情况明显降低,且其接触疲劳强度明显提升,该方法具有良好的优化效果.
Multi-Objective Fuzzy Optimization Control for Single Stage Spur Gear Transmission
Single stage straight tooth gears are different from general gears in that their meshing area is small and they are prone to impact and friction during the meshing process.The control process is a multi-objective optimization problem,and the tradi-tional method that solely relies on accuracy as a constraint condition reduces the efficiency of gear transmission.A multi-objective fuzzy optimization control method for single stage straight tooth gear transmission control is proposed.On the basis of analyzing the problem of single stage spur gear transmission,the multi-objective fuzzy optimization function for gear transmission control is constructed by setting the value range of each objective function with gear strength,optimized transmission efficiency,and opti-mized dynamic performance as multiple objectives.The cross algorithm and Simulated annealing algorithm in the genetic algo-rithm are used to solve the problem iteratively according to the set multi-objective function,and the optimal parameters of gear transmission control are obtained,thus realizing the optimization of single-stage spur gear transmission control.Through experi-mental verification,it has been found that after the optimization of the proposed method,the meshing misalignment during the gear internal transmission process is significantly reduced,and the contact fatigue strength is significantly improved.This meth-od has good optimization effects.

Single Stage Straight Tooth GearTransmission FunctionTransmission ModelMulti Objective Fuzzy OptimizationGenetic Algorithm

韩亮、付丽华、张文武

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营口理工学院,辽宁营口 115014

辽宁科技大学,辽宁鞍山 114051

单级直齿齿轮 传动控制 传动函数 多目标模糊优化 遗传算法

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):2024.406(12)