论文部分内容阅读
在分析取标板运动过程中的最大法向绝对误差的基础上,建立以最大法向绝对误差函数为目标函数,以取标板半径和偏心距为设计变量,以取标板与标签无相对滑动以及设计变量的可选范围为约束条件的取标板结构参数优化模型。用遗传算法进行优化计算,并比较优化前后的最大法向绝对误差。结果表明,经过遗传算法优化后获得的最优取标板半径和最优偏心距能有效减小取标过程中的最大法向绝对误差,为取标板结构参数的合理选取提供了依据。
Based on the analysis of the maximum normal absolute error during the movement of the target plate, the maximum normal absolute error function is established as the objective function, and the radius and eccentricity of the target plate are taken as the design variables. Sliding and optimization of the design parameters of the baffle plate with the optional range of design variables. The genetic algorithm is used to optimize and calculate the maximum normal absolute error before and after optimization. The results show that the optimal baffle plate radius and the optimal eccentricity obtained after genetic algorithm optimization can effectively reduce the maximum normal absolute error during the calibration process and provide a basis for rational selection of the structure parameters of the calibration plate.