Optimization of coal blending process control based on fuzzy self-tuning

Issue title: Special Section: Intelligent Data Aggregation Inspired Paradigm and Approaches in IoT Applications

Guest editors: Xiaohui Yuan and Mohamed Elhoseny

Article type: Research Article

Authors: Yin, Qiang^{a; *} | Hu, Jiabing^b | Tong, Hangming^a | Song, Shaoyun^a | Zhang, Guoquan^a

Affiliations: [a] College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan, China | [b] Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Hubei, Wuhan, China

Correspondence: [*] Corresponding author. Qiang Yin, College of Mechanical Engineering, Wuhan Polytechnic University, Wuhan 430048, China. E-mail: [email protected].

Abstract: Due to the continuous improvement of industrial production requirements and green manufacturing demand, manufacturing enterprises and factories need to constantly optimize and improve the system structure. Based on the actual problems in the actual coal blending process, this paper analyzes the reason of the coal blending error in coal blending process and the optimization scheme of intelligent control of coal blending process. We optimized the overall structure of the coal blending system, improved the coal blending system which use the fuzzy control system. At the same time, we used MATLAB to simulate and analyse the simulation results. This paper gives an illustration to the optimal structure and system of the coal blending system, effectively improves the accuracy and stability of the coal blending process control system, reduces the coal blending error and improves the quality of coal blending in general.

Keywords: Green manufacturing, PID, intelligent control, fuzzy self-tuning, coal blending

DOI: 10.3233/JIFS-179090

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 341-349, 2019