Nadweh Safwan, Khaddam Ola, Hayeh Ghassan, Atieh Bassan, Haes Alhelou Hassan
Electrical Power Engineering Department, Tishreen University, 2230 Lattakia, Syria.
Mechatronics Engineering, Manara University, Lattakia, Syria.
Heliyon. 2020 Nov 8;6(11):e05438. doi: 10.1016/j.heliyon.2020.e05438. eCollection 2020 Nov.
This paper presents the reconfiguration of control circuit designed to control four-quadrant chopper placed in the variable speed drive system (VSDS)'s DC-link. The purpose of this design is to reduce the overall total harmonic distortion THD% of input current, and the ripple factor (RF) of the DC-link current in this system. Both of Grey Wolf Algorithm (GWO) & Particle Swarm Optimization (PSO) have been used to get the optimal parameters of proportional integral PI and proportional integral differential with filter PIDN controllers. The variable speed drive system and the proposed filter have been modeled in integration with the suggested algorithms to determine the optimal values of the controllers' parameters. The grey wolf algorithm GWO outperformed the PSO algorithm in term of reaching the optimum parameters in less number of iterations in both dynamic and static work conditions. Also, the time response of the system with GWO is better than with PSO.
本文介绍了一种控制电路的重新配置，该控制电路旨在控制置于变速驱动系统（VSDS）直流母线中的四象限斩波器。此设计的目的是降低该系统中输入电流的总体总谐波失真THD%以及直流母线电流的纹波因数（RF）。灰狼算法（GWO）和粒子群优化算法（PSO）都已用于获取比例积分PI控制器和带滤波器的比例积分微分PIDN控制器的最优参数。变速驱动系统和所提出的滤波器已与所建议的算法集成建模，以确定控制器参数的最优值。在动态和静态工作条件下，灰狼算法GWO在以更少的迭代次数达到最优参数方面优于PSO算法。此外，采用GWO时系统的时间响应比采用PSO时更好。
