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Article

Robust Speed Tracking of Induction Motors: An Arduino-Implemented Intelligent Control Approach

Department of Electrical Engineering, Chung Yuan Christian University, 200 Chung-Pei Road, Chung-Li District, Taoyuan 32023, Taiwan
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Author to whom correspondence should be addressed.
This paper is a revised and extended version of our paper “Effective Speed Tracking of Induction Motors Using Microcontroller-Based Intelligent Control” published in proceedings of the 2017 IEEE International Conference on Applied System Innovation.
Appl. Sci. 2018, 8(2), 159; https://doi.org/10.3390/app8020159
Received: 31 October 2017 / Revised: 11 January 2018 / Accepted: 18 January 2018 / Published: 24 January 2018
(This article belongs to the Special Issue Selected Papers from IEEE ICASI 2017)
To feasibly achieve economical and satisfactory robust velocity tracking of an induction machine (IM), we propose an Arduino-implemented intelligent speed controller. Because a voltage/frequency controlled IM framework is simple and well suited for being controlled by the proposed speed controller, it is adopted herein. Taking into account easy implementation and good performance, we design the controller using a modified Ziegler-Nichols PID (modified Z-N PID) and a fuzzy logic controller (FLC). The modified Z-N PID and the FLC are connected in tandem. The latter is designed based on the output signal of the former for adaptively yielding adequate torque commands. Experimental results of IM velocity tracking controlled by our PC-based and Arduino-based speed controllers consistently show that the proposed design scheme can yield remarkable tracking performance and robustness. In addition, it is demonstrated that the proposed Arduino-implemented controller is not only viable but also effective in terms of cost, size and tracking performance. View Full-Text
Keywords: robust velocity tracking; voltage/frequency (V/f) controlled induction motor (IM); intelligent control; modified Ziegler-Nichols (Z-N) PID; fuzzy logic; Arduino-implemented speed controller robust velocity tracking; voltage/frequency (V/f) controlled induction motor (IM); intelligent control; modified Ziegler-Nichols (Z-N) PID; fuzzy logic; Arduino-implemented speed controller
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MDPI and ACS Style

Ho, T.-J.; Chang, C.-H. Robust Speed Tracking of Induction Motors: An Arduino-Implemented Intelligent Control Approach. Appl. Sci. 2018, 8, 159. https://doi.org/10.3390/app8020159

AMA Style

Ho T-J, Chang C-H. Robust Speed Tracking of Induction Motors: An Arduino-Implemented Intelligent Control Approach. Applied Sciences. 2018; 8(2):159. https://doi.org/10.3390/app8020159

Chicago/Turabian Style

Ho, Tan-Jan, and Chun-Hao Chang. 2018. "Robust Speed Tracking of Induction Motors: An Arduino-Implemented Intelligent Control Approach" Applied Sciences 8, no. 2: 159. https://doi.org/10.3390/app8020159

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