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Design of Speed and Current Controllers Based on Online Particle Swarm Optimization Method for IPMSM Drives

机译:基于IPMSM驱动器的在线粒子群优化方法的速度和电流控制器设计

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摘要

In this paper, a novel online particle swarm optimization method is proposed to design speed and current controllers of vector controlled interior permanent magnet synchronous motor drives considering stator resistance variation. In the proposed drive system, the space vector modulation technique is employed to generate the switching signals for a two-level voltage-source inverter. The nonlinearity of the inverter is also taken into account due to the dead-time, threshold and voltage drop of the switching devices in order to simulate the system in the practical condition. Speed and PI current controller gains are optimized with PSO online, that means single irritation optimization computation can be completed within single sample time. In addition, the fitness function is changed according to the system dynamic and steady states. The proposed optimization algorithm is compared with conventional PI control method in the condition of step speed change and stator resistance variation, showing that the proposed online optimization method has better robustness and dynamic characteristics compared with conventional PI controller design.
机译:本文提出了一种小说在线粒子群优化方法,用于考虑定子电阻变化的矢量控制内部永磁同步电动机驱动的速度和电流控制器。在所提出的驱动系统中,采用空间矢量调制技术来生成两个电压电源逆变器的开关信号。由于开关装置的死区时间,阈值和电压降,还考虑了逆变器的非线性,以便在实际情况下模拟系统。速度和PI电流控制器增益通过PSO Online优化,这意味着单个刺激优化计算可以在单个采样时间内完成。此外,根据系统动态和稳定状态改变了健身功能。将所提出的优化算法与传统的PI控制方法进行比较,在步进速度变化和定子电阻变化的条件下,显示所提出的在线优化方法与传统PI控制器设计相比具有更好的鲁棒性和动态特性。

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