FERTILIZER QUALITY CONTROL OF A BULK-BLENDING PLANT USING INTELLIGENT SYSTEMS

Authors

  • Wichian Srichaipanya Electrical Engineering Department, Faculty of Engineering, Khon Kaen University, Muang District, Khon Kaen 40002, Thailand.
  • Pramin Artrit Electrical Engineering Department, Faculty of Engineering, Khon Kaen University, Muang District, Khon Kaen 40002, Thailand.
  • Anucha Sangrung Electrical Engineering Department, Faculty of Engineering, Khon Kaen University, Muang District, Khon Kaen 40002, Thailand.

Keywords:

Neural networks, fuzzy logic, fertilizer, process control

Abstract

This research aims to improve the quality of fertilizer which is produced as an important materialfor agriculture. Errors and loss of production often occur because of human judgment in mixing 4 types of raw materials including urea, di-ammonium phosphate, muriate of potash, and filler. In order to control the ratio of raw materials, feeding systems have to be adjusted by increasing or decreasing the conveyer speed. Therefore, intelligent systems have been developed as a supporting tool to decide how to set the parameters in the fertilizer production process. This system is built by employing artificial neural networks and fuzzy logic controllers. The results show that the overall errors of fertilizer (N-P-K) 16-16-8 and 21-7-18 have been improved by 3.22% and 10.12%, respectively.

References

Chunying, L. and Xi, W. (2010). Variable-rate fertilization control system based on fuzzy PID control strategy. Proceedings of the International Conference on Electrical and Control Engineering; June 25-27, 2010; Wuhan, China, p. 2511-2514.

Wu, A.I. and Tam, P.K.S. (1999). An adaptive speed control for induction motor drive using fuzzy neural network based on fuzzy hierarchy error approach. Proceedings of the International Conference on Electric Machine and Drive; May 9-12, 1999; Seattle, WA, USA, p. 284-286.

Ying, H. (2000). Fuzzy Control and Modeling Analytical Foundations and Applications. IEEE Press, Atlantic City, NJ, USA, 342p.

Yuan, T.C.C. and Liaw, C.Y. (1994). Design of a neural fuzzy controller. Proceedings of the 20th International Conference on Industrial Electronic Control and Instrumentation; September 5-9, 1994; Bologna, Italy, 1:611-616.

Yusuf, I., Iksan, N., and Herman, N.S. (2010). Weight-feeder control for plastic extruder using fuzzy genetic algorithm. Proceedings of the 2nd Computer and Automation Engineering International Conference; February 26-28, 2010; Singapore, 3:145-149

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Published

2026-08-28

How to Cite

Srichaipanya, W., Artrit, P., & Sangrung, A. (2026). FERTILIZER QUALITY CONTROL OF A BULK-BLENDING PLANT USING INTELLIGENT SYSTEMS. Suranaree Journal of Science and Technology, 21(3), 137–146. retrieved from https://ph04.tci-thaijo.org/index.php/SUJST/article/view/13948

Issue

Vol. 21 No. 3 (2014): July - September

Section

Research Article