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

• Main Authors: Tan-Jan Ho, Chun-Hao Chang
• Format: Article
• Language: English
• Published: MDPI AG 2018-01-01
• Series: Applied Sciences
• Subjects: 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
• Online Access: http://www.mdpi.com/2076-3417/8/2/159

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.