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Performance analysis of permanent magnet synchronous motor drive using Particle Swarm Optimization technique

机译:基于粒子群算法的永磁同步电机驱动性能分析

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摘要

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.
机译:本文提出了永磁同步电动机(PMSM),一种基于粒子群优化(PSO)技术的非线性速度控制器设计。为了调整PID控制器,使用PSO算法对PMSM的速度控制进行了分析,以优化比例增益(Kp),积分增益(Ki)和微分增益(Kd)方面的参数。此外,整个系统在各种运行条件下进行评估,例如启动,制动,负载施加和负载去除。除此之外,还进行了使用Ziegler-Nichols方法的PMSM速度控制与使用PSO技术的PMSM速度控制之间的比较。这些分析是根据动态,静态响应和总谐波失真(THD)估算的。根据建立时间(ts),上升时间(tr),峰值时间(tp)和峰值过冲(Mp)检查瞬态响应。总体而言,采用PSO技术的PID速度控制器表明,该方法改善了各种工况下的性能。

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