@article {4743,
	title = {Genetic Algorithm and Particle Swarm Optimization tuned fuzzy PID Controller on direct torque control of dual star induction motor, ISSN / e-ISSN 2095-2899 / 1993-0666},
	journal = {Journal of Central South University},
	volume = {volume 26},
	number = {N{\textdegree}7},
	year = {2019},
	pages = {pp. 1886{\textendash}1896},
	abstract = {This study presents analysis, control and comparison of three hybrid approaches for the direct torque control (DTC) of the dual star induction motor (DSIM) drive. Its objective consists of combining three different heuristic optimization techniques including PID-PSO, Fuzzy-PSO and GA-PSO to improve the DSIM speed controlled loop behavior. The GA and PSO algorithms are developed and implemented into MATLAB. As a result, fuzzy-PSO is the most appropriate scheme. The main performance of fuzzy-PSO is reducing high torque ripples, improving rise time and avoiding disturbances that affect the drive performance.},
	url = {https://link.springer.com/article/10.1007/s11771-019-4142-3},
	author = {Ghoulemallah Boukhalfa and Sebti, Belkacem and Chikhi Abdesselem and Said, BENAGGOUNE}
}
@article {63436,
	title = {基于遗传算法和粒子群优化的模糊 PID 控制器在双星感应电机直接转矩控制中的应用 (英文)},
	journal = {Journal of Central South UniversityJournal of Central South University},
	volume = {7},
	year = {2019},
	month = {2019},
	author = {Ghoulemallah, BOUKHALFA and Sebti, Belkacem and Chikhi Abdesselem and Said, BENAGGOUNE}
}
