2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON) 2021
DOI: 10.1109/gucon50781.2021.9573705
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Comparative Evaluation of PSO, TLBO, and JAYA based Adaptive PI and FOPI Controllers for Vector Controlled Induction Motor Drive

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Cited by 7 publications
(1 citation statement)
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“…where M, I 1d , and I 1q represent the mutual inductance, d-axis current, and q-axis current, respectively. When the slip-angular-frequency command changes steeply, the q-axis secondary flux fluctuates transiently, and the coupling of the secondary flux occurs [11], [12]. Various control applications, such as autodisturbance-rejection control [13], morel reference adaptive system [14], sliding-mode control [14], [15], and neural networks [16], [17], [18], have been proposed to improve the current response.…”
Section: Introductionmentioning
confidence: 99%
“…where M, I 1d , and I 1q represent the mutual inductance, d-axis current, and q-axis current, respectively. When the slip-angular-frequency command changes steeply, the q-axis secondary flux fluctuates transiently, and the coupling of the secondary flux occurs [11], [12]. Various control applications, such as autodisturbance-rejection control [13], morel reference adaptive system [14], sliding-mode control [14], [15], and neural networks [16], [17], [18], have been proposed to improve the current response.…”
Section: Introductionmentioning
confidence: 99%