交流伺服电机驱动器的优化控制研究

Optimization Research for Control Parameters of AC Servo Motor Drivers

开放式的交流伺服电机驱动器向用户提供了诸多可调节的控制参量,为被控对象达到更优的工作品质提供了可能。针对某型用于高品质动感运动平台的交流伺服电机驱动器系统,以驱动电流的波动值最小为优化目标,以平台的动态响应指标为约束条件,构建了交流伺服电机驱动器驱动控制的优化模型。通过采用遗传算法优化方法,对驱动器的控制参数进行了优化匹配。优化结果表明,运动平台在满足频响特性指标要求的基础上,显著提升了运动品质。

As many adjustable controlling parameters are provided for users,the controlled objects make it possible to achieve better dynamic qualities.Based on the system of the AC servo motor driver for a certain type high quality dynamic motion platform,the optimization model of drive control of the AC servo motor drivers was proposed,the minimum fluctuations of the drive current chosen as the optimal objective function,and dynamic response characters of the platform acted as constraint condition.The genetic algorithm was applied to optimize controlling parameters of drivers.The optimization results showed that the platform met frequency response characteristics requirement,in the meantime dynamic performance realized dramatic improvement.