Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3233/JIFS-179090 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Green manufacturing,PID,intelligent control,fuzzy self-tuning,coal blending | Fuzzy logic,Control engineering,Self-tuning,Process control,Artificial intelligence,Coal blending,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
37 | 1 | 1064-1246 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qiang Yin | 1 | 15 | 12.17 |
| Jiabing Hu | 2 | 7 | 1.10 |
| Hangming Tong | 3 | 0 | 0.34 |
| Shaoyun Song | 4 | 0 | 0.34 |
| Guoquan Zhang | 5 | 0 | 0.34 |