具有参数不确定性的火炮弹药协调器定位精度优化

基于火炮弹药协调器定位过程中的参数不确定性，提出一种间接提高定位精度可靠性的优化方法。分析了影响弹药协调定位性能的主要不确定性因素，对不确定性变量进行空间变换和拉丁超立方采样，根据空间变换后采样点到均值点的距离计算误差权值；在Simulink中建立协调过程的机电系统模型，并对各个采样点进行仿真以获取定位误差，对定位误差进行加权取和作为性能指标，使用粒子群优化算法对该性能指标进行了最优化设计。优化计算结果表明，该方法具有显著的优化效果和较高的计算效率。基于火炮弹药协调器定位过程中的参数不确定性，提出一种间接提高定位精度可靠性的优化方法。分析了影响弹药协调定位性能的主要不确定性因素，对不确定性变量进行空间变换和拉丁超立方采样，根据空间变换后采样点到均值点的距离计算误差权值；在Simulink中建立协调过程的机电系统模型，并对各个采样点进行仿真以获取定位误差，对定位误差进行加权取和作为性能指标，使用粒子群优化算法对该性能指标进行了最优化设计。优化计算结果表明，该方法具有显著的优化效果和较高的计算效率。

Optimization Design of Positioning Precision for Howitzer Shell Transfer Arm with Parameter Uncertainity

An optimization design method is proposed to indirectly improve the reliability of positioning precision for shell transfer arm in ammunition automatic loading system with uncertain parameters. The main uncertain factors that influence the positioning performance are analyzed. Space is transformed, and Latin hypercube sampling is applied for the uncertain variables. The error weights are calculated according to the distances from sampling points to the mean point in the transformed space. An electromechanical model is established with MATLAB/Simulink, and the simulations are run for every sampling point to get the positioning errors. The weighted sum of these errors is calculated as a performance index. This performance index is optimized using particle swarm algorithm. This method has remarkable optimization effect and good computational efficiency.