Fractional Order PID Tuned using Symbiotic Organism Search Algorithm for Field Oriented Control of The Permanent Magnet Synchronous Motor

Tahar Nouaoui, A. Dendouga, A. Bendaikha
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Abstract

This paper presents the model of the permanent magnet synchronous motor (PMSM) controlled by the field oriented control (FOC) technique using the fractional order proportional, integral, and derivative (FOPID) regulators. To bring out the maximum potential of the FOPID controller the algorithm of symbiotic organism search (SOS) has been used to obtain the gains of the latter. SOS, FOC, and fractional calculus were explained. The tuning efficiency of SOS has been compared to that of the algorithm of particle swarm optimization (PSO) when tuning the FOPID controllers for the PMSM under identical conditions and constraints. SOS algorithm managed to achieve better fitness than PSO. The obtained controllers were tested under various speeds and load charges. The inspection of the simulated results of speed, torque and induced currents proved the supremacy of SOS over PSO when tuning the parameters of the FOPID.
基于共生生物搜索算法的分数阶PID调谐永磁同步电机磁场定向控制
本文提出了采用分数阶比例、积分和导数(FOPID)调节器的磁场定向控制(FOC)技术控制永磁同步电机(PMSM)的模型。为了最大限度地发挥FOPID控制器的潜力,采用了共生生物搜索(SOS)算法来获得后者的增益。解释了SOS、FOC和分数阶微积分。在相同条件和约束条件下,比较了SOS算法与粒子群优化算法(PSO)对永磁同步电机FOPID控制器的整定效率。SOS算法的适应度优于PSO算法。得到的控制器在不同的速度和负载下进行了测试。转速、转矩和感应电流的仿真结果表明,在调整FOPID参数时,SOS优于PSO。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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