基于粒子群优化算法优化陷波器参数的永磁同步电机振动抑制技术方法研究

Study on Vibration Suppression Technology of Permanent Magnet Synchronous Motor Based on Particle Swarm Optimization Algorithm to Optimize Trap Parameters

针对振荡问题,在工业控制系统中,电机与负载之间一般都是通过传动轴、齿轮或者联轴器等传动机构进行连接,然而传动机构有一定的刚度系数,并不是完全刚性的,因此电机和负载之间存在柔性传动,即“末端振荡”。永磁驱动控制系统机械谐振抑制的综合设计是电机驱动领域的关键共性技术,对于提升永磁电机控制系统动态响应品质、提高系统安全性具有十分重要的意义。本文提出了一种基于智能算法的共振抑制方法,可有效解决陷波器由于参数耦合导致难以整定的问题,解决了伺服系统中多轴共振问题,既发挥了粒子群优化算法的优化计算能力,又体现了陷波滤波器有效滤除谐波的优点,将二者融合起来,有效消除了永磁同步伺服电机的共振谐波,抑制伺服共振现象。

For the oscillation problem, in industrial control systems, the motor and the load are generally connected through transmission shaft, gear or coupling and other driving mechanism, but the driving mechanism has a certain stiffness coefficient, is not completely rigid, so there is a flexible drive between the motor and the load, that is, "end oscillation". The comprehensive design of mechanical resonance suppression of permanent magnet drive control system is a key common technology in the field of motor drive. This paper proposed a resonance suppression method based on intelligent algorithm, can effectively solve the trap difficulty setting due to parameter coupling problem, solve the problem of multiaxial servo system resonance, both played a PSO algorithm optimization ability, and embodied the advantages of notch filter effectively filter out harmonic will both combined, effectively eliminate the permanent magnet synchronous servo motor of the harmonic resonance, inhibition of servo resonance phenomenon.