基于引力搜索算法的激光位移传感器参数优化

Parameter optimization of laser displacement sensor based on gravitational search algorithm

为了优化中等量程激光三角位移传感器性能及体积,以200 mm~500 mm量程为例,建立了数学模型实现结构参数优化。在传感器结构设计中,采用平面反射镜对光路进行折叠,以工作物距、透镜焦距、线阵探测器件位置以及反射镜位置为被优化量并定义了目标函数,采用引力搜索算法(gravitational search algorithm,GSA)实现对位移传感器的结构优化。经过算法迭代,相同宽度限制下所得优化后的结构参数与传统激光三角结构相比,在500 mm处灵敏度提高24.29%,非线性误差由11.40%降低为7.43%。结果表明,此结构与优化算法对激光三角位移传感器性能与体积有较大的正向优化效果。

In order to optimize the performance and volume of the medium-range laser triangular displacement sensor,a mathematical model was established to optimize the structural parameters with the 200 mm~500 mm range as an example.In the structural design of the sensor,a plane mirror was used to fold the optical path,and the objective function was defined with the working object distance,lens focal length,linear array detector position and mirror position as the optimized parameters,gravitational search algorithm(GSA)was used to optimize the structure of the displacement sensor.After the algorithm iteration,compared with the traditional laser triangle structure with the same width limit,the sensitivity of the optimized structure was increased by 24.29%at 500 mm,and the nonlinear error was reduced from 11.40%to 7.43%.The results show that this structure and optimization algorithm have a positive effect on the performance and volume of the laser triangular displacement sensor.