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Performance Analysis of PMSM Drive Using Ant Colony Optimization

机译:基于蚁群算法的PMSM驱动器性能分析

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This paper proposes an optimization algorithm to control the transient speed response of a permanent magnet synchronous motor (PMSM). The transient response of motor under starting, speed reversal, as well as during load disturbance conditions has been considered. The aim is to minimize maximum overshoot, rise time, settling time, peak time and integral absolute control error of the PMSM shaft speed, with the aid of a PID speed controller, so as to achieve fast and efficient transient speed response. Ant Colony Optimization (ACO) technique has been employed for determining the gain coefficients (proportional, integral and derivative) of the PID speed controller. The results demonstrate that with the use of ACO technique improved dynamic performance of PMSM drive can be achieved in comparison to the classical Ziegler-Nichols method of PID tuning under different operating conditions.
机译:本文提出了一种优化算法来控制永磁同步电动机(PMSM)的瞬态速度响应。已经考虑了电动机在启动,速度反转以及负载干扰条件下的瞬态响应。目的是借助PID速度控制器将PMSM轴速度的最大过冲,上升时间,稳定时间,峰值时间和积分绝对控制误差最小化,以实现快速有效的瞬态速度响应。蚁群优化(ACO)技术已用于确定PID速度控制器的增益系数(比例,积分和微分)。结果表明,与经典的Ziegler-Nichols PID调节在不同工况下的方法相比,使用ACO技术可以提高PMSM驱动器的动态性能。

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