Notice of Violation of IEEE Publication Principles: Adaptive Fuzzy PID speed control of DC belt conveyor system

Notice of Violation of IEEE Publication Principles

"Adaptive Fuzzy PID Speed Control of DC Belt Conveyor System"
by Chen Xu-Hui, MD Lutfar Rahman and Zhang Yin
in the Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), June 2016

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper is a near duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"PLC Based Adaptive Fuzzy PID Speed Control of DC Belt Conveyor System"
by Mohd Heidir Mohd Shah, Mohd Fua'ad Rahmat, Kumeresan A. Danapalasingam and Norhaliza Abdul Wahab
in the International Journal on Smart Sensing and Intelligent Systems, June 2013, pp. 1133-1152


Conveyor belt system is one of the most common transfer systems used in industry to transfer goods from one point to another in a limited distance. It is used in industries such as the electromechanical /mechanical assembly manufacturing to transfer work piece from one station to another or one process to another in food industries. The belt conveyor system discussed in this paper is driven by a DC motor and two speed controllers. The PID speed controller is designed to provide comparison to the main controller which is the Adaptive Fuzzy PID Speed controller. Both controllers are implemented in a real hardware where the algorithm will be written in PLC using SCL language. The experimental result shows that Adaptive Fuzzy PID controller performs better and adapted to the changes in load much faster than the conventional PID controller. This project has also proved that PLC is capable of performing high level control system tasks..