基于粒子群优化技术的永磁同步电机驱动性能分析

Deepti Yadav, A. Verma
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引用次数: 12

摘要

提出了一种基于粒子群优化(PSO)技术的永磁同步电机非线性速度控制器设计方法。为了对PID控制器进行整定,利用粒子群算法对比例增益(Kp)、积分增益(Ki)和导数增益(Kd)等参数进行优化,分析了永磁同步电机的速度控制。此外,整个系统在各种操作条件下进行评估,如启动,制动,负载施加和负载去除。在此基础上,对齐格勒-尼科尔斯法和粒子群控制法进行了比较。这些分析是根据动态响应、静态响应和总谐波失真(THD)来估计的。暂态响应是根据稳定时间(ts),上升时间(tr),峰值时间(tp)和峰值超调(Mp)来检查的。总体而言,采用粒子群优化技术的PID速度控制器在各种工况下的性能都得到了改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of permanent magnet synchronous motor drive using Particle Swarm Optimization technique
Permanent magnet synchronous motor (PMSM), a nonlinear speed controller design based on Particle Swarm Optimization (PSO) technique is presented in this paper. For tuning the PID controller, the speed control for PMSM was analysed using PSO algorithm to optimize the parameters in terms of proportional gain (Kp), integral gain (Ki), and derivative gain (Kd). Moreover, the overall system is evaluated under various operating conditions such as starting, braking, load application and load removal. Besides this, comparison between speed control of PMSM using Ziegler-Nichols method and speed control of PMSM with PSO technique has been carried out. These analyses are estimated in terms of dynamic, static response and total harmonic distortion (THD). The transient response are examined in terms of settling time(ts), risetime(tr), peak time (tp), and peak overshoot (Mp). Overall, PID speed controller with PSO technique shows that the proposed method has improved the performance under the various operating conditions.
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