当前位置: X-MOL 学术J. Electr. Eng. Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Rooted Tree Optimization Algorithm to Improve DTC Response of DFIM
Journal of Electrical Engineering & Technology ( IF 1.9 ) Pub Date : 2021-06-02 , DOI: 10.1007/s42835-021-00796-4
Youcef Bekakra , Yacine Labbi , Djilani Ben Attous , Om P. Malik

In this paper, an integral-proportional (IP) controller is employed in speed loop control in direct torque control (DTC) of a doubly fed induction motor (DFIM). Using IP parameters obtained from classical tuning methods, such as pole placement method, Ziegler–Nichols, etc., has disadvantages like high undershoot and overshoot, slow settling time, etc. To overcome the drawbacks of the classical methods, a new approach in which the IP controller parameters are tuned by rooted tree optimization (RTO) algorithm minimizing a multi-objective function is presented. The proposed algorithm has been verified and tested in control system with a PID controller. It presents improvement in performance response of various processes of different order compared with techniques such as Ziegler–Nichols, Kitamori’s, Fuzzy-PID and Iterative Feedback Tuning. In addition, simulation results of direct torque control response of a DFIM with an IP controller designed using the RTO algorithm minimizing a multi-objective function show its effectiveness and better performance in speed response. Robustness test against parameter sensitivity for the proposed DTC-DFIM-RTO is verified under stator resistance variation.



中文翻译:

改善DFIM DTC响应的根树优化算法

在本文中,积分比例 (IP) 控制器用于双馈感应电机 (DFIM) 直接转矩控制 (DTC) 的速度环控制。使用从极点布局法、Ziegler-Nichols 等经典调谐方法获得的 IP 参数,存在下冲和过冲大、建立时间慢等缺点。为了克服经典方法的缺点,一种新的方法,其中提出了通过最小化多目标函数的根树优化 (RTO) 算法调整 IP 控制器参数。所提出的算法已在带有 PID 控制器的控制系统中得到验证和测试。与 Ziegler-Nichols、Kitamori's、Fuzzy-PID 和迭代反馈调整等技术相比,它在不同阶次的各种过程的性能响应方面有所改进。此外,采用 RTO 算法设计的 IP 控制器的 DFIM 直接转矩控制响应的仿真结果显示了其有效性和更好的速度响应性能。在定子电阻变化下验证了针对所提出的 DTC-DFIM-RTO 的参数敏感性的稳健性测试。

更新日期:2021-06-02
down
wechat
bug