Soft Sensors and Fuzzy Logic Control: A Practical Way to Overcome Complex Problems

- Organization:
- Canadian Institute of Mining, Metallurgy and Petroleum
- Pages:
- 9
- File Size:
- 866 KB
- Publication Date:
- Jan 1, 2017
Abstract
"In mineral processing, it is often very difficult to reliably measure several key operation variables. The harsh environment and high temperature encountered in pyrometallurgy processes lead to some difficulties when selecting the instruments, valves and actuators. If an important variable cannot be measured or manipulated adequately, controlling it can really become a big challenge. Sometimes, it is simply impossible to find the perfect equipment for the task. To help overcome these difficulties, a different approach is required. This approach will not correct the inherent problems related to the instruments and valves, but will cope with these problems. This article will demonstrate how modern process control techniques can be used to solve complex problems while remaining easy to implement. In this article we will described how soft sensors and multivariable fuzzy logic control were implemented at Koniambo Nickel to stabilize the furnace feed and allow for safe and reliable operation of an 80 MW DC arc furnace.INTRODUCTION Process Overview The process plant at Koniambo Nickel SAS is located in the North Province of New Caledonia, 310 km north of Noumea. The nickel-bearing ore is mined in the nearby Koniambo massif. After being screened and crushed, the ore is transported to the processing plant using a 12 km conveyor. After stacking in two blending piles, the ore, containing 2.3% nickel, is fed to the processing plant where it will go through the NST process (Nickel Smelting Technology) before being sent to refining and shotting. This article will focus on the improvement to control of the NST processes. The first steps of this process consist of milling the ore and removing all moisture through calcining (Figure 1)."
Citation
APA:
(2017) Soft Sensors and Fuzzy Logic Control: A Practical Way to Overcome Complex ProblemsMLA: Soft Sensors and Fuzzy Logic Control: A Practical Way to Overcome Complex Problems. Canadian Institute of Mining, Metallurgy and Petroleum, 2017.