| Abstract Scope |
This project summary describes the application of Fuzzy Logic to optimize an aluminum oxide calciner. The conventional control method caused high temperature variability and inefficient fuel consumption due to excessive air usage.
An advanced control solution using Fuzzy Logic was implemented to replace the existing PID control. This technology processes abstract concepts like "high temperature" using empirical rules, simulating an expert operator's real-time decisions. It anticipates process variations, continuously adjusting fuel flow to stabilize temperatures and optimize combustion.
The implementation yielded significant results: a 48% reduction in calcination temperature variability, a 71% drop in bottom temperature variability, and a 22% reduction in excess air. These improvements led to more stable operation, consistent product quality, and substantial fuel savings, proving Fuzzy Logic's effectiveness in optimizing complex industrial processes. |