基于粒子群算法的倾斜度误差评定方法

Inclination Errors Evaluation Method Based on Particle Swarm Optimization

为了减小扭力冲击器关键部件冲击锤的倾斜度误差,根据倾斜度误差的国家标准,建立了符合最小区域条件的倾斜度误差评定模型。针对倾斜度误差的特点,提出一种惯性权重随实际情况动态变化的改进粒子群算法,从而对倾斜度误差进行评价,并给出了该改进算法的实现方法,最后将改进PSO算法与传统算法的计算精度进行比较。结果表明,改进的粒子群算法的计算精度比传统算法高,适用于扭力冲击器的倾斜度误差评定。

In order to reduce the inclination error of the impact hammer of the key component of the torque impactor,according to the national standard of inclination error,the model of inclination error evaluation w as established according to the minimum region condition. According to the characteristics of the inclination error,an improved particle sw arm algorithm that inertia w eight w ith the actual dynamic changes is proposed. So the inclination error is evaluated and the improved algorithm is given. Finally the calculation precision of the improved PSO algorithm and traditional algorithm are compared. The results show that the improved particle sw arm optimization algorithm is more accurate than the traditional algorithm and is suitable for the evaluation of the inclination error of the torque impactor.