Adaptive PID-Type Iterative Learning Control for DC Motor Position
Tri-Quang Le, Nguyen Ngoc Tu, Le Ngoc Truc
DOI: http://dx.doi.org/10.15439/2022R49
Citation: Proceedings of the 2022 Seventh International Conference on Research in Intelligent and Computing in Engineering, Vu Dinh Khoa, Shivani Agarwal, Gloria Jeanette Rincon Aponte, Nguyen Thi Hong Nga, Vijender Kumar Solanki, Ewa Ziemba (eds). ACSIS, Vol. 33, pages 11–14 (2022)
Abstract. The paper aims to control the DC motor position. The proposed method is adaptive PID-type iterative learning control based on fuzzy logic. The Developed processor-in-the-loop simulation based on Simulink and Arduino Mega 2560 demonstrated the high performance of the proposed solution.
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